{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b5a252ef-ac0b-4208-ad74-e317ad3855b2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T18:09:54.016038Z",
     "iopub.status.busy": "2022-06-11T18:09:54.015690Z",
     "iopub.status.idle": "2022-06-11T18:09:54.759865Z",
     "shell.execute_reply": "2022-06-11T18:09:54.759268Z",
     "shell.execute_reply.started": "2022-06-11T18:09:54.015970Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 导入包\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07a6503a-753d-4072-9aff-42fbdf85b6ef",
   "metadata": {},
   "source": [
    "1. plt.title()函数设置图标题\n",
    "2. plt.xlabel()和plt.ylabel()分别设置x轴和y轴的标题\n",
    "3. plt.xticks()和plt.yticks()分别设置x轴和y轴的刻度，需要两个参数\n",
    "    1. 第一个参数ticks不重要，只需要保持与数据个数一致就可\n",
    "    2. 第二个参数labels是关键，用来设置每个刻度上面的文字信息\n",
    "4. 默认不支持中文，需要通过font_manager.FontProperties设置实现中文字体\n",
    "    1. fname参数指向具体的字体文件路径"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ae5afa0-dcae-4e11-81c8-caa2e8d959fd",
   "metadata": {},
   "source": [
    "## 一、设置图标题"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "212da46c-1e56-4d67-a287-06be32d07b4d",
   "metadata": {},
   "source": [
    "### 1.1 英文标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6db71fe6-2331-44ba-9202-1f5ed1dd92e3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T18:13:41.767910Z",
     "iopub.status.busy": "2022-06-11T18:13:41.767506Z",
     "iopub.status.idle": "2022-06-11T18:13:41.921539Z",
     "shell.execute_reply": "2022-06-11T18:13:41.920478Z",
     "shell.execute_reply.started": "2022-06-11T18:13:41.767874Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Line Chart')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据 \n",
    "yData = [np.random.randint(5, 16) for x in range(10)]\n",
    "# 设置折线图绘制\n",
    "plt.plot(yData)\n",
    "# 设置图标题\n",
    "plt.title(\"Line Chart\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b058e83-2711-4ca7-a18d-a42efa596854",
   "metadata": {},
   "source": [
    "### 1.2 中文标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bdb09654-e9e1-4eb3-a1cc-a7a639f69437",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T18:14:06.221962Z",
     "iopub.status.busy": "2022-06-11T18:14:06.221650Z",
     "iopub.status.idle": "2022-06-11T18:14:06.339097Z",
     "shell.execute_reply": "2022-06-11T18:14:06.338368Z",
     "shell.execute_reply.started": "2022-06-11T18:14:06.221939Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '折线图示例')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda3/envs/jpt/lib/python3.10/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 25240 (\\N{CJK UNIFIED IDEOGRAPH-6298}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/opt/miniconda3/envs/jpt/lib/python3.10/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/opt/miniconda3/envs/jpt/lib/python3.10/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 22270 (\\N{CJK UNIFIED IDEOGRAPH-56FE}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/opt/miniconda3/envs/jpt/lib/python3.10/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 31034 (\\N{CJK UNIFIED IDEOGRAPH-793A}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/opt/miniconda3/envs/jpt/lib/python3.10/site-packages/IPython/core/pylabtools.py:151: UserWarning: Glyph 20363 (\\N{CJK UNIFIED IDEOGRAPH-4F8B}) missing from current font.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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7Ah5qoY9vrrWhphBBAbzj4mmURBnrwIzjEGMW4ijRRpDJnZhTeOzdIzjR2Yfvra0bW7/qsFux/1SPpMdMyWloJIij7b2oirPbz2G3oiArBZt5c6uEUXKAqRaOcUGmmnEBn8TJzj789zuHcM3iYlxafmYdc73disDgCI526CPIPNrei5GgiPsO3GAgrKqyYZuzjbsyE0TpAaYaaCXI5AI+ift/vx9GA+Hua2rOelyLm8JPJXKIw2zu9hpqbPAPjmDnMe7KnC0OMBMjEmSqfTqUC/gEth5sxeYDXnynoQLF1rPXiVbYMkNBpsp/9YqVy+OH0UBYmJ8R92tcVpEPi8nA0ygJ0NLFAWaiaCHI5AIeZWB4FBt+vw+LCjLwN8sWnvN5k9GAmmL9BJlOrx8L8zNm9et6usWESxflcVdmAiixA1OtHCVWdPQO4bSKg0wu4FE2bjuC4x19uH9t/aQb7zjsVuzTSZDZ7PXHtIXsdBpqCnG8ow+H2/SRHSRLo9sHk4EDzEQY68hU8c0YF/BxTnb24ZGth3CNo3jKDZgc4SDzmMaDzP6hURzv7EvI3s2RszK5qWd2IgFmqpkDzNmq1UCQyQV8nAde3Q8DEe6KCi6jaeGdOxaHWgMQAnEvIRzPnpOGmmI+K3M2OMBMLC0EmVzAw7Y6W/Hmfi++3VCOudNscFNRmAmLDoLMyAqURG1EtbrGhp3HO9Hdx12Z8Wjp6kd33zDquYEnYertVjS2qDfI5AIOYHBkFPe/sg9lBRm45bKyaZ9vNhpQq4Mg0+X1w2IyYMGc9IS83qpqW6gr06nebYXlxAFm4jns6g4yuYADeHzbERzr6MP94zoup6OHINPl9aO8IBMmY2L+mpxXkoP8zBRs5nnwuEQCzGoOMBNG7dOhui/gLV19eHjrIXy2vgiXVxTE/HV6CDJdHn9CVzsYDIRV1QV419WG4VHuypwpDjATT+1Bpu4L+AOv7geBcPe1tTP6OrW/c0+nZ2AYp3wDCT89fFV1IfwDI/iIuzJnhAPM5EizqDvI1HUBf9fVhj/u8+KOVeUzPpkjEmSq9Z17Os3hALNyBseoxeLyinxYjAa8zatRZoQDzOSpV3FHpm4L+ODIKDa8sg8L8zNwy+XndlxOx6zxjkynJ3QKT6LvwDNSTLhkUR6f0jNDTRxgJo3DbkV7YAieHvUFmbot4E/86SiOtvdiw9q6uNvEHfZs7HNrM8h0ef3IsBiTcmZgQ40NR9t7cbgtkPDX1ioOMJOnXsVby+qygLu7+/Hzt5txdV0RrqiMPbiM5rBb4R8cwfHOvgSOThlcXj8qCrOScnhzpCuTp1Fi1+j2oYIDzKSoLc6GgdS5w6guC/j3X90PALhnzcyCy2haDjJdCdoDZSIluemoLsri5YQxEkKgye2Dw54t91A0KRRkZqny51h3BXybqw1vNHlwx8qZB5fRKguzwh2Z3YkZnEK0BwbRHhhCRYIDzPEaamzYebwLvr7hpF1DK1q6+tHVN8zz30lUb7eiUYVBpq4KeCS4LM1Lx63Lp++4nI7ZaEBNkTrfuafiSsAhDtNpqCnEaFDwWZkxiPxqz3uAJ4/Dnq3KIDOWU+mfIqJWImoa99gDRLSXiPYQ0ZtENDe5w0yMJ987iiOzDC6jOUqsmgsym72hcDFZUyhAqCszL8PCm1vFIBJg1hTzFEqyOErUGWTGcgf+NICrox77iRBisRDifACvArg3weNKuFPd/fj5lkO4qrYQK6psCXtdLQaZTq8fOelmFGSlJO0aRgNhZbUN7zhbuStzGhxgJl9tsVWVQea0BVwIsQ1AZ9RjPeM+zACg+NvP77+2HwIC98yw43I6WgwyXR4/KguzQJT4FSjjra6xoWdgBLuOdyX1OmrGAaY01Bpkxj0HTkQPEtFJAH+FKe7Aieg2ItpJRDvb2uTZhe695na83ujB+hXlmJegnfUiIkGm2t65JyOEgNPrT3gH5kQuqyiAxWjgQx6m4O7mAFMqoSCzR1VBZtwFXAhxlxBiHoDnANwxxfM2CiGWCCGWFBTEv+Y6XkMjQdz7ShMWJCi4jDYWZKps7mwynp4B+AdGkjr/HZGZYsJFZXN4HnwKHGBKJxRkDsLbMyj3UGKWiFUovwHwFwl4naR4avtRHGnrxYY1dUmbQ6y3W9F0Sn1LkCbi8ianhX4yq2sKcaS9F0e4K3NCjW4fjBxgSmIsyFTRb9NxFXAiqhj34VoABxMznMQ67evHf21pxpW1hVhZnbjgMprDboV/YATHO9QfZLo8kU2spCngY12ZvDfKhBrdPaiwZXKAKYFIkKmpAk5EzwPYAaCKiFqI6GYAPyKiJiLaC+AqAHcmeZxx+f5rBzAaFLg3wcFlNC0FmU6vHwVZKcjNsEhyvXlz0lFVyF2ZEzkTYPL0iRTSLEaU2zJVlWeZpnuCEOLGCR5+MgljSajth9rx2t7T+LvVlQkPLqNVFmbBYgwFmWvOU8WS+Ekls4V+Mg01Njy27Qh8/cOwppklvbaSnfINoLN3aOxXe5Z89XYr/tTcDiFE0ldhJYImOzGHRoK4d1MT5s9JxzevSHxwGc1iMqC6OAt7VR5kBoMCzd6AZNMnEQ01NowGBd518VmZ40W2aOAAUzoOuxVtfvUEmZos4L/cfhSH23qxYW2tZHOHDg0EmS1d/egfHkVVUfKXEI53/rxczMmw4G2eRjlLJMCs5QBTMg6VTYdqroB7fAP4zy3NWF1jw6rqQsmuq4Ug0+mVNsCMMBoIK6ts2Opswwh3ZY7hAFN6tXOzVRVkaq6AP/h6KLi8b02dpNfVQpAZ2cSqQuICDoSmUXz9w9yVGcYBpjzSLSYsKlBPkKmpAv7+4Xb8/pNT+NaKRUkPLqONDzLVyunxw56ThsyUabPthLu8Ih9mI/FywjAOMOXjKLGq5kZMMwV8eDSI+zbtw7w5abj9ikWSXz8SZKrlD34iLq8/qVvITiUr1YyLy/J4OWFYpLOXA0zpnQkylb+1rGYK+NPbj6G5NYD7rk1ex+V01Hy69fBoEEfaeiWf/x5vVbUNh9t6cay9V7YxKEUTB5iycajojExNFHBvzwAe2uxCQ7UNq2ulCy6jOexW9AyM4IQKt5Y93tGLodGg5CtQxltdE/qz4xPrw1vIcoApCzUFmZoo4A++dgDDMgSX0dS2BGk8pye0F0mFTb478Hlz0lFZmKn73QkjASZPn8hDTUGm6gv4jsMdeOWTU7j9ikWYnydtcBktEmSqsoB7/TAQUG6T7w4cAFZVF+LPRzvRM6DfszJP+wbQ0TvEK1Bk5LCrI8hUdQEfHg11XJbkpmHdCumDy2gWkwFVRVmqeOeO5vL4UZqXIfuv7KtrbBgJCmzTcVfmXg4wZVdvt6JVBUGmqgv4M++Hg8skbhU7U/V2Kxpb1Bdkulr9sgaYEZ+an4vcdLOu9whvcvtgIHCAKSO1nJGp2gLe2jOAhzY3Y2VVAVbXJG+r2JlaXKK+IHNgeBTH2ntRKdMSwvHOdGW26rYrs9HtQ2VhFtIsyrgp0aPa4myQCoJM1RbwH7x+AEOjQWxYW6eoXcPUGGQebgsgKCDJMWqxaKgpRHffMHaf7JZ7KJLjAFMZMlLUEWSqsoB/cKQDL+85hduXl2FBXobcwzmLGoPMSAu91NvITubyynyYDKTLph4OMJVDDUGm6gp4pOPSnpOGb60ol3s451BjkOn0BGA2EkrzlfFmmJ1q1u1ZmZGCwXfg8nOEg8xWBQeZqivgz+44DqfXj3vX1Cp2jjDUkame062bvX4sKsiE2aicvw4N1YU41BrA8Q59dWVygKkcajgjUzk/sTFo7RnAz95yYUVVAa6SseNyOg67Fb7+YZzs7Jd7KDFxepWxAmW8hnAwrbe78FAHJgeYSqCGIFNVBfyHbxzE0EgQG9YoK7iMpqYgMzA4gpaufsUEmBEL8jJQbsvEloP6mQfnAFNZ1BBkxnKo8VNE1EpETeMe+wkRHSSivUT0EhHlJHWUAP58tBMv7XbjtuVlipmrnUxlUSbMRlJFAW+W6RCHWDTU2PDhkU74ddKV6ekZQHtgCA47T58ohdKDzFjuwJ8GcHXUY28BqBdCLAbgAvCvCR7XWUbCHZf2nDSsX6m84DJaismomiBzbAWKAtaAR2uoLgx3ZbbLPRRJRJpGeA9w5ai3W+HtUW6QOW0BF0JsA9AZ9dibQoiR8IcfAChJwtjGPLvjOA56/LjnWuUGl9Ei79xKDzJd3gBSzQbMy5V3H5mJXDA/BznpZt1MozSOBZhcwJVC6dOhiZgD/xsAb0z2SSK6jYh2EtHOtrb49rdIsxhxzeJifKZOucFlNIc9RxVBpiscYBoMyssUTEYDVlbZ8I6zDaNBZb8RJkKj24dyW6ZqblL0oG6usoPMWRVwIroLwAiA5yZ7jhBioxBiiRBiSUFBQVzXuXHpfDzylQsUHVxGU/o7d4TT45d1C9nprKq2obN3CLtPaPuszDNnYObIPRQ2TkaKCWX5GYqdDo27gBPR1wFcC+CvhNLnCWSghiCzq3cIrf5BWQ9xmM4VVQUwGUjzhzxwgKlcSg4y4yrgRHQ1gH8GsFYIoZ5dmySkhiDTpeAVKBHZqWYsXThH84c8cICpXGNBpl95QWYsywifB7ADQBURtRDRzQAeBpAF4C0i2kNEv0jyOFVJ6UGmqzV0Co8SV6CMt6raBpc3gJMq2uFxppo4wFSsxSU5AKDIm7FYVqHcKIQoFkKYhRAlQognhRDlQoh5Qojzw//cLsVg1aY+3JHZ0qXMINPl8SMr1YSi7FS5hzKlsbMyNXwXzgGmco0FmS09cg/lHKrqxFQbpQeZkRZ6pYfDpfkZKCvI0Ow8uBACje4e7sBUqEiQqcSfYy7gSVRVlKXYIFMIMbaEUA1W1xTigyMdmuzK9PYMoj0wyFvIKpjDblXnFAqLX4rJiMpCZQaZbf5BdPcNo0phe6BMpqHahuFRgfeatdeVGXmD5wKuXPV2Kzw9A4oLMrmAJ5lSg0yXNxRgKuEYtVh8ekEurGlmbNbg7oSNLd2hAHMuLyFUqsibq9JuxriAJ5mjxIruPuUFmU6FncIzHZPRgBVVBdjqbNVcV2aj24dFBZlIt5jkHgqbRJ3dqsggkwt4kik1yHR5/MjLsCAvM0XuocSsoaYQnb1D2KOhszIjASav/1a2zBQTFiowyOQCnmRKDTKVeIjDdK6oKIDRQJpaTsgBpnooMcjkAp5kSgwyhRBo9voV38ATzZpuxoWluZo6pYcDTPVwhIPMNv+g3EMZwwVcAkoLMt3d/egdGlXdHTgQWk7o9Po105U5toUsB5iKp8Qgkwu4BOrtygoyz+yBoo4lhOOtqg6dlfm2Rpp6mjjAVI2xIJMLuL4o7Z3b6QktIaxQ4R14WUEmyvK105XZ6Pbx9IlKKDHI5AIugaqiLJgMygkyXV4/iq2psKaZ5R5KXBpqbPjgcAcCgyPTP1nBvOH5VG6hVw+lBZlcwCWQag4FmUop4E6P+lagjLequhBDo0G81xzfCU9KwVvIqo/DbsVpn3KCTC7gEom8c8sdZI4GBQ61BVS3AmW8JaW5yE41qX41yl63D0RAbTEHmGpRr7DpUC7gEqkvsaKrbxjubnmDzOMdvRgaCaLCpr4AM8JsNGBFlQ1bna0IqrgrMxJgZqRwgKkWdeHVQkr5bZoLuEQWRzoyW+T9g4+sQFHzHTgQmgdvDwxhT0u33EOJGweY6pOValbU1rJcwCWilCDT6QmACChX8R04AKyotMFoILyt0mmUSIDJBVx96hUUZHIBl4hSgkyX14/5c9JVv+7Ymm7GkgW52KzStnoOMNUrEmS2B+QPMrmAS0gJQaaaDnGYTkONDQc9frR0qa8rs5EDTNWqV9AGdbEcavwUEbUSUdO4x75IRPuIKEhES5I7RO2QO8gcHBnF0fZeVXZgTqQhfFbmVhU29XCAqV719tCbbpPMeRYQ2x340wCujnqsCcAXAGxL9IC0TO6OzKPtvRgJCs3cgZflZ6A0L12VhzxwgKleSgoyYzmVfhuAzqjHDgghnEkblUZVyxxkOj3aWIESQURoqCnEjsMd6FVRV2ZrzwBauQNT1ZQSZCZ9DpyIbiOinUS0s61N3Z1zs5VqNqKiMAuNbnlO9XB5/TAZCGX52phCAYBrFhdjaDSIx/90RO6hxIy3kFU/h92KUwoIMpNewIUQG4UQS4QQSwoKCpJ9OcVz2LNlCzJd3gAW5mfAYtJOdn3B/Fxcs7gYj75zWDVbzEYCzDreQla1lBJkaucnWSUcdis6e4dwyif96dZaWoEy3t3X1MBoINz/+/1yDyUmjS0+lOVncICpYnUKCTK5gEvMUZIDQPqOzL6hEZzo7NNkAS+2puE7DRXYfMCLtw8qf104B5jql51qVsTWsrEsI3wewA4AVUTUQkQ3E9HniagFwCUAXiOiPyZ7oFpxJsjslvS6h1oDEAKoKtLO/Pd4f7NsIRYVZGDDK/sxMDwq93AmFQkwI2/kTL2UEGTGsgrlRiFEsRDCLIQoEUI8KYR4KfzfKUKIQiHEZ6QYrBbIFWRGVqBo8Q4cACwmA+5fW48TnX3YuE25gSYHmNrhsGfjlG8AHTIGmTyFIgM5gszm1gAsJgMW5GVIdk2pXVaRj2scxXhk6yHFBpocYGqHEoJMLuAykCPIdHr8KC/IhNFAkl1TDnddUwMDEb73qjIDzSY3B5haoYS9wbmAy6Behq1lXV6/Zhp4pjI3Jw3fbijHW/u92OpUXocmB5jaoYQgkwu4DGqKs2E0kGTv3L7+YZz2DWh2/jvaLZeVoawgA/e/sg+DI8oJNFv9A/D2cAemloSCTHka8wAu4LJINRtRYcuU7J27eewQB22uQIkWCjTrcKyjD48rKNBs4gBTcxz2bLi7+9HZOyTL9bmAy0TKrWVd3gAA7a5AmcjlFQX4bH0RHt56SDHbzTa29IQCTC7gmiF3kMkFXCaOEis6eodwWoIg0+X1I8NihD0nLenXUpK7r60FgfCAQgLNRnc3FuZnIJMDTM04k2d1y3J9LuAykfKd2+nxo6IwC0TaXoESzZ6ThjtWleOP+7x4RwGBJgeY2pOdakZpXjrfgetNrYRBpsvrR5WOpk/Gu+XyhViYn4ENMgeakQCTC7j2yBlkcgGXSSTI3JvkpYTtgUF09A6hUgdLCCeSYjJiQzjQfOJPR2UbBweY2uWwW2ULMrmAy0iKINMVWYGi0ztwALiisgBX1xXh5283y3acHQeY2uWQMcjkAi4jKYJM19geKPpYQjiZe9bUAgC+L1Og2ej2cYCpUXUydmRyAZeRFEGm0xtATroZBVkpSbuGGthz0nDHynK80eTBNpf0J0M1cYCpWdY0MxbkpUu+RTTABVxWUgSZkUMc9LYCZSK3Li9DaV665IFmm38Qnp4BLuAa5rBbeQpFb5LdkSmEgMuj3xUo0SKB5pH2Xjz5nnSBZuQNmlvotSsSZHZJHGRyAZdZfRKDTE/PAPyDI7pdgTKRFVU2XFVbiJ9vOSRZoBl5g+YtZLVLriCTC7jMHHYr2gND8PQkPsgcO8TBpu8AM9o919ZCQODB16QJNBvDW8hmpZoluR6TXh0XcH1K5taykSWEetoDJRbz5qRj/YpyvN7owXvN7Um/XmOLj6dPNE6uIJMLuMySGWQ6PQHYslKQm2FJ+Gur3a3Ly7AgLx33vtKEoZFg0q7DAaZ+1MsQZMZyqPFTRNRKRE3jHptDRG8RUXP437nJHaZ2pVnCHZlJ+IPXyyEO8Ug1hwPNtuQGmmMdmCVcwLVOjiAzljvwpwFcHfXYvwDYIoSoALAl/DGLUzKCzGBQoLnVz9MnU1hZZcOVtYX4+dvNOO1LTqDJAaZ+yBFkxnIq/TYAnVEPXwfgmfB/PwPg+sQOS1+SEWSe7OrDwHBQ9x2Y07n32lqMBgW+/9qBpLw+B5j6UT9XgQV8EoVCiNMAEP63bbInEtFtRLSTiHa2tUnfAacGyQgyx1ag8B34lObNSce6FeV4be9pbD+U+ECzyc0Bpl5Y082YPydd0pb6pIeYQoiNQoglQoglBQUFyb6cKtUWZ8NAid1LIbICpYIL+LS+eUUZ5s9Jx72bEhtotgcGcdrHAaaeSN2RGW8B9xJRMQCE/y3/bvkqFgoysxL6B+/0BlCSm8abJ8UgFGjW4nBbL365PXGBZiN3YOqOo8SKli7pgsx4C/grAL4e/u+vA9iUmOHoV2gJUk/CgsxmLweYM7GquhCra2z4zy2JCzSbwlNidXYOMPUi8ttW0ylp7sJjWUb4PIAdAKqIqIWIbgbwIwBXElEzgCvDH7NZcNiz0R4YhLdncNavNTwaxOG2ABfwGbpvTR1GgwIPJijQjGwhm80Bpm5EgsxkH9QSMe3v10KIGyf5VEOCx6JrkXXCjW4fiqyps3qtY+29GB4VqCriFSgzMW9OOr61YhEe2tyMr1zUjksX5c/q9RrdPiwpnZOg0TE1kDrI5E5MhagttsJAiVmC5OQW+rjdfsUizJuThvs27cPwaPyB5pkAk6dP9EbKIJMLuEJEgsxEvHO7PH4YCFhUwHfgM5VqNmLDmjo0twbw9PZjcb8OB5j6VW+XLsjkAq4g9XYr9rbMviPT5Q2gNC8DqWZjgkamLw01hWiotuGhzS5442yuigSYXMD1R8ogkwu4giQqyHTxCpRZu29NHYZnEWhygKlf9eFpMymmUbiAK8j4IDNeA8OjONbRy4c4zNL8vHTcfsUivPLJKew43DHjr+cOTP3KSbdg3pw0SYJMLuAKkogg81BrAEEBPkYtAdatWISS3DTcu6lpRoFmR2AQpzjA1DWpgkwu4AqSZjGi3JY5q3fu5tbQChReQjh7qWYj7gsHms+8fyzmr+MAk9XbrTjZ2Y/uvuQGmVzAFWa2m8I7PQGYjYQFeRkJHJV+ra6xYWVVAR7a3IzWGANNPsSYLbbnAACa3D1JvQ4XcIVx2K1o8w/GvfrB5fVjUUEmzEb+o00EIsKGtXUYGg3iB6/HFmg2un0ozUvnAFPHpAoy+adcYRyz3FrW6eEVKIm2IC8Dty8vw8t7TuGDI9MHmnwGJosEmY3u7qRehwu4wtTOzY47yAwMjsDd3c/HqCXBt1aUw54zfYfmmQCTC7jeSRFkcgFXmHSLKe4gs5lb6JMmzWLEfWtq4fT68eyO45M+L/IDywWcSRFkcgFXoHiDTNdYAecVKMlwZW0hVlQV4KG3XJMGmpE33jou4Lo31pGZxCCTC7gCOexWtMYRZDo9AaSaDZiXm56kkekbEWHDmjoMjgTxwzcOTvicSIBpTeMAU++kOCOTC7gCxRtkRlroDQZKxrAYgNL8DNy2vAwv7Xbjz0ejz/oO3W1xgMkAIDfDgpLc5HZkcgFXoHiDTCfvgSKJ9StDgea9m5owMi7Q7Owdgru7n+e/2ZhkB5lcwBUo3WLCooKZBZldvUNo8w9yC70E0ixG3HNtLQ56zg40OcBk0ertVpzo7IOvbzgpr88FXKFm+s595hR6DjCl8Jm6QiyvLMDP3nKh1R/KKjjAZNGSvbUsF3CFqg8HmbG2b0cKOK8BlwYR4f61oUDzR+FAs7HFhwUcYLJxxvKsJE2jcAFXqJluLev0+pGVakJR9uzO02SxW5ifgVuXL8SLH7vx0bFONPIWsixKJMiMt7N6OrMq4ER0JxE1EdE+IvrbBI2JAagtzgbNIMh0eQKoKswCEa9AkdL6leWYa03FP7+wlwNMNqFkBplxF3AiqgdwK4ClAM4DcC0RVSRqYHqXkWJCeYxBphACrlY/H+Igg3SLCfeuqcWR9l4AHGCycyUzyJzNHXgNgA+EEH1CiBEA7wL4fGKGxYDY37nb/IPo7htGpY0DTDl8pq4Il1fkg+hM8wZjEckMMmdTwJsALCeiPCJKB/A5APOin0REtxHRTiLa2dbWNovL6U+93Qpvz/RBpjPSQs934LIgIjz0l+fjmZuWwprOASY723klObjrczVYkJf4Dum4C7gQ4gCAHwN4C8AfAHwCYGSC520UQiwRQiwpKCiIe6B6FGuQ6fSEV6DwGnDZ5GWmYHkl//1m57Kmm3Hr8jKUJGGLi1mFmEKIJ4UQFwghlgPoBNCcmGExIPYg0+X1Iz/TgrzMFIlGxhhTAtNsvpiIbEKIViKaD+ALAC5JzLAYEAoyY+nIdHkD3ELPmA7Ndh3474hoP4DfA1gvhOhKwJjYONMFmcGgQDPvgcKYLs3qDlwIcXmiBsImVm+34qXdbrT6B2DLOrdJx93dj96hUS7gjOkQd2Iq3JlN4Se+Cz/TQs9LCBnTGy7gClc3Nxxktkx8qodzbBMrvgNnTG+4gCtcRooJZfkZk86DN3sDmGtNRXYqrz9mTG+4gKvA4pKcSadQnB4/330zplNcwFWg3m6Fp2cAbf7Bsx4fGQ3iUFuAt5BlTKe4gKvAZEHm8c4+DI0EeQUKYzrFBVwFIkHm3qg9hV3cQs+YrnEBV4HJgkyXNwAioJx3IWRMl7iAq4TDbj1nCsXl9WP+nHSkWYwyjYoxJicu4CoxUZDp5BZ6xnSNC7hKRAeZgyOjONrey/PfjOkYF3CVqLNbz9pa9khbL0aDgg9xYEzHuICrRGaKCQvHBZmRPVAqCznAZEyvuICryOJxQabL64fJQCjL5wLOmF5xAVeRersVp30DaA8MwukJYGF+Biwm/iNkTK/4p19FIkFmo9sHl9fP89+M6RwXcBWJBJl/PtqJE519vAKFMZ3jAq4ikSBz0243AA4wGdM7LuAq47Bbcco3AADcxMOYzs2qgBPR3xHRPiJqIqLniejcQxtZQkXmwS0mAxbkZcg8GsaYnOIu4ERkB/AdAEuEEPUAjAC+nKiBsYnVhwt4hS0TRgPJPBrGmJxmO4ViApBGRCYA6QBOzX5IbCp1c7MB8BayjLFQAY6LEMJNRP8O4ASAfgBvCiHejH4eEd0G4DYAmD9/fryXY2FZqWbcfU0NlpTOkXsojDGZzWYKJRfAdQAWApgLIIOI/jr6eUKIjUKIJUKIJQUFBfGPlI255fIynD8vR+5hMMZkNpsplNUAjgoh2oQQwwBeBHBpYobFGGNsOrMp4CcAXExE6UREABoAHEjMsBhjjE0n7gIuhPgQwAsAPgbQGH6tjQkaF2OMsWnEHWICgBDiPgD3JWgsjDHGZoA7MRljTKW4gDPGmEpxAWeMMZXiAs4YYypFQgjpLkbUBuB4nF+eD6A9gcNRO/5+nMHfi7Px9+NsWvh+LBBCnNMJKWkBnw0i2imEWCL3OJSCvx9n8PfibPz9OJuWvx88hcIYYyrFBZwxxlRKTQWcuzzPxt+PM/h7cTb+fpxNs98P1cyBM8YYO5ua7sAZY4yNwwWcMcZUShUFnIiuJiInER0ion+RezxyIaJ5RLSViA6ED5O+U+4xKQERGYloNxG9KvdY5EZEOUT0AhEdDP89uUTuMclFD4euK76AE5ERwCMAPgugFsCNRFQr76hkMwLgH4QQNQAuBrBex9+L8e4E70Uf8Z8A/iCEqAZwHnT6fdHLoeuKL+AAlgI4JIQ4IoQYAvBbhI5y0x0hxGkhxMfh//Yj9MNpl3dU8iKiEgDXAHhC7rHIjYiyASwH8CQACCGGhBDdsg5KXpo/dF0NBdwO4OS4j1ug86IFAERUCuBTAD6UeShyewjAdwEEZR6HEpQBaAPwy/CU0hNElCH3oOQghHADiBy6fhqAb6JD19VODQWcJnhM12sfiSgTwO8A/K0Qokfu8ciFiK4F0CqE2CX3WBTCBOACAI8KIT4FoBeALjOjWA9dVzs1FPAWAPPGfVwCDf4qFCsiMiNUvJ8TQrwo93hktgzAWiI6htDU2ioi+rW8Q5JVC4CW8HGHQOjIwwtkHI+cdHHouhoK+EcAKohoIRFZEAoiXpF5TLIIHx79JIADQoj/kHs8chNC/KsQokQIUYrQ34u3hRCau8uKlRDCA+AkEVWFH2oAsF/GIclJF4euz+pMTCkIIUaI6A4Af0QoSX5KCLFP5mHJZRmArwJoJKI94cf+nxDidfmGxBTm2wCeC9/sHAFwk8zjkYUQ4kMiihy6PgJgNzTYUs+t9IwxplJqmEJhjDE2AS7gjDGmUlzAGWNMpbiAM8aYSnEBZ4wxleICzhhjKsUFnDHGVOr/A4ijYUWeEd/FAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据\n",
    "yData = [np.random.randint(5, 16) for x in range(10)]\n",
    "# 设置折线图绘制\n",
    "plt.plot(yData)\n",
    "# 设置图标题\n",
    "plt.title(\"折线图示例\")  # 因为matplotlib默认没有中文字符，所以会出现乱码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "68d564bf-c1c0-4810-b776-ac56dde42c57",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T18:34:00.174866Z",
     "iopub.status.busy": "2022-06-11T18:34:00.174533Z",
     "iopub.status.idle": "2022-06-11T18:34:00.286976Z",
     "shell.execute_reply": "2022-06-11T18:34:00.286206Z",
     "shell.execute_reply.started": "2022-06-11T18:34:00.174840Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '折线图示例')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 解决中文乱码问题\n",
    "# 导入字体管理\n",
    "from matplotlib import font_manager\n",
    "\n",
    "# 创建字体管理对象，指向具体的字体文件\n",
    "font = font_manager.FontProperties(\n",
    "    fname=\"/System/Library/Fonts/STHeiti Light.ttc\", size=20, weight=4\n",
    ")\n",
    "# 创建数据\n",
    "yData = [np.random.randint(5, 16) for x in range(10)]\n",
    "# 设置折线图绘制\n",
    "plt.plot(yData)\n",
    "# 设置图标题，同时指定字体\n",
    "plt.title(\"折线图示例\", font_properties=font)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71c5dbae-069e-4a43-ab36-f2bd69a12c5b",
   "metadata": {},
   "source": [
    "## 二、设置轴标题"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "63a95ca1-0c67-44e7-902e-2494764b7795",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2022-06-11T19:10:41.799433Z",
     "iopub.status.busy": "2022-06-11T19:10:41.799110Z",
     "iopub.status.idle": "2022-06-11T19:10:41.951879Z",
     "shell.execute_reply": "2022-06-11T19:10:41.950991Z",
     "shell.execute_reply.started": "2022-06-11T19:10:41.799409Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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KvQfq+eM7m/2UTkQCRQWiiEgYWJBbRJe4aE4fntGmxx+ob+LNvN2aEyRhy1rLPz/O54ONJX7f91VT+9LssawprPT7voNFRU0jTy3dxQXjsunbLanD+xvfpys3nzQwIrvAioSaaKcDiIhIx9Q3uXlr7R7OGZXZ5quCb6/dw5yX1rDwtpmMyUkLbEARB2wrq2Hv/gZmDuru931P6JPG8p+fQWpCjN/3HSwe+Ww79c1uvn/KQL/t865z/DMXVEQCS1cQRURC3O6qevp3T2J2G4aXHnTmiJ64ogxvt2HOokgoWpzvn/UPW2OMOVQcNjS7/b5/p3k8lrfW7ubskZkM7pns131ba3l2+S5eXFHg1/2KiP/oCqKISIjr3z2J1/7nhHYNF01LjGX6gG7eK4mzhmJMx5cAEAkmS/LLyE5LoM8R1gTtKGst3354GVmpCcy7dGxAXsMpUVGGN35wIvvrmwKy/zfW7GZ1QSUnD+lBRkp8QF5DRI6friCKiISw2sZmDvgO4tpb5M0alcm2shq2lFQHIpqIow7UNzNzULeAnfwwxtC3WxKvrSmmqjYwhZQTGprdNLk9xMe4yEj2f/FmjOE3s0fR4Pbwmzc2+H3/ItJxKhBFRELY/JVFTPrtexRV1rX7ubNG9MQY+HxrWQCSiTjryRuncu9FYwL6GldO6UN9k4eX/dwp1UlPLtnJqfd/RGVtY8Beo3/3JG49ZRCvrS7mk82lAXsdETk+ASsQjTGPGGNKjDFrW7nvDmOMNcZ0b7FtrjFmqzFmkzFmVovtE40xeb77HjC+U4HGmDhjzPO+7cuMMf0C9b2IiASrV1cV0Sc9kazU9p/pz0iJ55M5p3L9zP4BSCbivKiowA6dHpWdyrjeaTy9bGdYdASub3Lz4Cfb6NstkbTE2IC+1i2nDGBA9yT+36trtSarSJAJ5BXEx4CzD99ojOkNnAnsarFtBHA5MNL3nH8YYw624vsncBMw2Hc7uM8bgX3W2kHAn4DfB+S7EBEJUgUVtXyxYx+zx2cf9zC63gGanyXipNueWcnc+Xmd8lpXTe1DfmkNy7ZXdMrrBdKLKwooPdDAbacODvhrxUW7uPfiMfzq/JHEuDSgTSSYBOx/pLX2E6C1d8s/AT8FWp5quwB4zlrbYK3dDmwFphhjegEp1tol1ntq7glgdovnPO77+iXgdBOoiQYiIkFo4epiAC4Yd/yLWDe5PfzwuVyeXLrTX7FEHNXs9vDRplI6q+Y4d0wWv794NKOzUzvnBQOksdnDvz7exsS+XZk2IL1TXnNK/3ROGepdu9XjCf0rsCLholNP2RhjzgeKrLWrD7srG2jZ77jQty3b9/Xh27/yHGttM1AF+L+XtYhIELLWsiC3iCn90snpevxXAWNcUWwpqeaVMJpDJZEtr6iK6oZmZgz0//qHrUmIdfGtyX1IigvtxvCL1u2hqLKO204b1Oldjf/5UT7XPro8LIbpioSDTns3M8YkAj8Hzmrt7la22aNsP9pzWnvtm/AOU6VPnz7HzCoiEuyMMfzjqgnUNHZ8DbazR2byh3c3s3d/PT3Vcl5C3MH1D6cN6LxzxtZanliyk6S4aC6ZmNNpr+tP3xzdi7TEGE4Y1DmFdUupCTF8uqWM+SuLuDhEf34i4aQzryAOBPoDq40xO4AcYKUxJhPvlcHeLR6bAxT7tue0sp2WzzHGRAOptD6kFWvtQ9baSdbaST169PDbNyQi4qTBPZMZ1zutw/s5Z3QmAO+s29PhfYk4bUl+OcN7pZCeFNgmKy0ZY3hr7W7+/N7mkBwqaa0lKspw4uAejqyJevnk3kzok8bdb24IaPdUEWmbTisQrbV51toMa20/a20/vAXeBGvtHmAhcLmvM2l/vM1olltrdwMHjDHTfPMLrwFe9e1yIXCt7+tLgA+sxiaISARweyw/fyWPNYWVftnfoIxkBvZI4m0ViBIGZg7qzpVTeh/7gX521dS+FO6r45MtobVsg8dj+daDS3l6mXPzkKOiDHdfOJqquibufWujYzlExCuQy1w8CywBhhpjCo0xNx7psdbadcALwHrgbeBWa+3BcVPfA/6Dt3FNPvCWb/vDQDdjzFbgx8BdAflGJKgtyC1i5r0f0P+uN5h57wcsyC1yOpJIwC3dVs7Ty3ZRuK/9ax8eyben9WV0dprmAEnI+94pA7l6er9Of91ZIzPp3iWWp5ftOvaDg8i7G/ayfEcFSbHOzqEc3iuFG0/oz8srCyk+jnVdRcR/AvZuYK294hj39zvs73cDd7fyuBXAqFa21wOXdiylhLIFuUXMnZ9HXZP3XEJRZd2htuazx2cf7akiIe2V3CKS46I5bViG3/aptRAlHOwoq6FHcpwjDWNio6O4bFJv/vVxPrur6uiVmtDpGdrLWsvfPthK326JnDuml9NxuP30wVw8IYestOD/2YmEMy08IyFr3qJNh4rDg+qa3MxbtMmhRCKBV9/k5u21ezhndCbxMa5jP6Edmt0eNuze79d9inSmO15czdUPL3Ps9a+Y0ofJ/dKprG1yLEN7fLKljLyiKr5/ykCig2AtwqS4aIZmJgOwu0pXEUWc4vy7gchxOtIQFA1NkXD23oa9VDc0M3uc/6+S3//OZi742+dUNzT7fd8igVbT0MyqgkqmdmL30sP1Tk/k+ZunM7xXimMZ2uNvH2whKzWeC8cHV+fQRz/fzmn3f0zhvlqno4hEJBWIErKONARFQ1MknDU0eRjXOy0gB8GnD8+g0e3hg40lft+3SKB9saOCZo9lxkDnl0QuPdDA1pJqp2Mc08+/OYK7LxxNbHRwHQ6eNTITY+AXr67TvGgRBwTXO4JIO8yZNZSEw4bYJcS4mDNrqEOJRALv4ok5LLh1Jq4o/7ein9CnK927xLForbqZSuhZkl9OrCuKSX3THc1hreXify7mV6+tczRHW4zrncapfpzL7C/ZaQn86IwhvL+xhEXr9jodRyTiqECUkDV7fDbnju1Fjy5xACTGurjnotFqUCNha09VPc1uT8D274oynDWyJx9uKqH+sPm9IsFucX454/ukkRDr37m57WWM4eIJOXy6pYyd5TWOZjmS3F37+OlLqymvbnA6yhFdN7MfwzKT+dVr6zTsXaSTqUCUkLW/volXVxVz3tgsrp7WlxtP6K/iUMLabc+s5NsBbsBx9shMahvdfLqlLKCvI+Jv91w0mp+ePczpGABcPqU3rijDM8uDc8mLv32wlXfW7/V7oyt/inFF8buLRlPb6GajmmeJdCpnF70R6YBFa/fQ2Ozh/HFZjOud5nQckYAqqKhlxc59AR9CPX1gN575zlSm9Hd2mJ5Ie43KTnU6wiE9U+I5c3hPXlxRyI/PHEJcdPAUYuuKq3h/Ywk/PnOII8uBtMeEPl1ZfNdpQZ9TJNzoCqKErIWri+mTnsjYHO9BgbWWpgAOvxNx0qurigC4YFxWQF8nxhXFjEHdg6LlvUhbvb6mmHfXB9dctaum9WFfbSNf7tjndJSv+MeH+STHRXPtjH5OR2mTpLhoPB7Lm3m7cXvUsEakM+gIQEJSWXUDi/PLOW9sL4wxVNU1MfG37/HEkp1ORxPxO2str+QWMaV/OjldEwP+epW1jdz9xnpW7KgI+GuJ+MNf3tvCk0uD6/1/5sDufDLnVGYM6u50lEO2lhzgzbW7uWZGX1ITYpyO02Yfby7l+0+vDNohuyLhRgWihKQte6tJjo/m/LHeOYepCTHEuAx5hZXOBhMJgHXF+8kvrQnI2oetiY9x8fSyXbySW9QpryfSESUH6tlSUh0Uy1u0FBVl6J3uPaETLEs1dImL4ZppfblhZn+no7TLKUN7MHNQN+57eyMlB+qdjiMS9lQgSkiaPrAbX/z8DIZmJh/aNjo7jTVFVQ6mEgmM4b1SePo7U/nmmF6d8nrxMS5OHZrBonV7NaRLgt6S/HKAoCsQwVsYfu+pL/nN6xucjgJAZmo8v7pgFN183b9DhTGG31wwioYmD78Nkp+lSDhTgSghp7HZg7WWmMPmSI3JSWVbaQ0H6pscSiYSGK4ow8xB3Tt1SNisUZmUVTeQuyu45k+JHG5Jfjkp8dGMzAqeJjUHGWOIjY7ixRUF1DY6u1TDE0t2hPSw8QE9uvD9UweycHUxn2wudTqOSFhTgSgh55HPt3PK/R99bV2kMb5mNWuL1A5bwscXOyq4+431VNY2durrnjq0B7GuKN5au6dTX1ekvbaV1jBtQDdcUcbpKK26ampfDjQ089rqYscy7K6q4zevr2fBqtAeNn7LyQM5eUgPol3B+W8tEi5UIErIWbiqmK6JsXQ5rO312Jw0bj5pAD2SQ2vojMjRPLe8gOeWF3T6emXJ8TGcMzozaA+6RQ56/uZp/Olb45yOcUST+3VlSM8uPL3MuQYrD32yDWvh5pMGOpbBH+JjXDx+wxRmDAyexj8i4UgFooSUrSXVrN+9n/PHfr3Vf9ekWOZ+YziDMro4kEzE/+oa3Sxat4dzRmc6sqD1Xy4fz8++MbzTX1ekPYwxQb1OnjGGq6b2ZU1hFWscaKRWeqCBZ5fv4sLx2Yea5oS6+iY3f3hnE1tLqp2OIhKWVCBKSFm4upgoA+ceoVlHfZObtWpUI2HivQ17qW5o7rTupUdSVat5vRKcfvv6en712jqnYxzThROyueOsIWSnJXT6az/82XYamz1875TQvnrY0oH6Zh5fvIP/t2Bt0HSIFQknKhAlZFhreW11MdMGdCMjJb7Vxzzy+XbO/etnOqCVsPDqqiIyU+KZOsC57ox3vLiai/75uWOvL3Ik1lpeW1NM6YEGp6McU0p8DLedNtiR7qHdu8Ry1dS+DOgRPqNreiTHcec5w1iyrVzL8QTQgtwiZt77Af3veoOZ937AAv2sI4YKRAkZ1sKdZw/j1lMHHfExY7LTAMjTVUQJcdZa0pNi+dbk3o7OAxyTk0p+aQ1bSw44lkGkNdvKati7vyFk5qNZa3l9TTHvrOvcxk/fOXEAv5k9qlNfszNcMbkP4/ukcfcbGzq9iVckWJBbxNz5eRRV1mGBoso65s7PU5EYIVQgSsiIijKcPSqTmYOOfDAwOtvbyXRNUWUnpRIJDGMM910ylh+dOcTRHLNGZgLwtrqZSpBZHMTrH7bGGMODH2/j/nc2dcqwyAP1TbyxZnfYrmUaFWW4e/ZoKuua+P3bm5yOE3bmLdpEXZP7K9vqmtz874K1/POjfJ5bvovl2/+7bEpFTSNNbk9nx5QACd5Z3SIteDyWf3+6jW+O6UVO1yNPsk9NjKFvt0TyCnUFUULbjrIa+nVPcjoGPVPimdAnjbfX7eG20wY7HUfkkCX5ZWSlxtO3W+g0Xvn2tD7c+XIeK3buY3K/9IC+1lNLd/H7tzfy+v+cwKjs4Fsj0h9GZKXw6wtGMrFvV6ejhJ3iyrpWt1c3NPP7tzcCcNaInkzp7/09PutPH1NW3UiXuGjSEmNIT4pl1sjMQ6O+/v7h1kP3dU2MpWtiLFlp8R0adr0gt4h5izZRXFlHVloCc2YNZfZ4Z+fshwsViBISvthRwT1vbSQzNf6oBSJ4ryLm7qrsnGAiAbCrvJZT7v+Iuy8cxVVT+zodh7NHZfK7NzdSUFEbNl0QJfQN6N6FQT26YEzoLMVy3tgsfvv6Bp5eujOgBWJdo5uHP9vGSUN6hG1xeFDL90hrbUj9PgSzbl1iKav++tDd7LR43v3xyew7rNfDj88cSll1A/tqG6msbaKippFo3/SIZrfHd+X8q/u68YT+/L9zR1DX6OakeR/SNTGGtMRYuvqKyLNHZXLK0Azqm9x8srmUrkn/ve/jTSX8fMG6Q1c5Dw6BBVQk+oEKRAkJr60pJj4mijOG9zzmY286aQC1jW59UEjIetW3mPXJQ3o4nMTrvLFZ9EyJp1uXWKejiBxyx6yhTkdot8TYaC6akM2zywv4v/MaSU8KzP+p577YRVl1I/9z2pHn7IeTxmYPc15azYheKdx8cvh0a3VKWXUDjc1uDNCypkuIcTFn1jASY6NJjP1qCXHl1D5H3F+0K4otvz2HyromKmsb2VfbxL6aRrK7erv6Nnk8nD4sg32++7aX1bCytpIhPZM5ZSjsrqrnpie/PGbuuiY38xZtUoHoByoQJeg1uT28mbeHM4b3bNNaV2Ny0gIfSiRArLW8sqqIKf3Tj3m1vLP0Sk3gAoeX2hBpqaKmkdSEGEcbOB2vq6b15bOtZRTtqwtIgdjQ7ObBj7cxtX96wIexBovY6ChqG938+b0tx5yKIkfn9lhufy6XhmbLT2YN4dllBX4ZwhntiqJ7lzi6tzKkNCU+hnsvHnPE5/ZKjee1207wFZCN7Ktp5JevrW/1sUcaGivtowJRgt7nW8uoqGnk/LFZbX7O+xv2khQXzTQHlwcQOR5ri/azrbSG75wwwOkoX1FW3cD8lYXMHp9NRnLry8yIdJY7XlxNeXUDr952gtNR2m1Iz2Te+/HJARvhUrSvjviYKG6LkKuHB/3y/JGc8YeP+eXCdfz7mkkaQXSc/vHhVj7fWs59F4/hssm9ue1U5+eex8e4GJ3z1aHS//50O0WtFINZDqw1Go7UxVSC3rbSGrp3ieXkoW0fbnf3mxt4+LPtAUwlEhgLVxcR64rim6N7OR3lKypqGvndmxt5Z91ep6NIhGtye1i2rTyk59YZY6hrdLOnqt7v+x7Qowvv/+QUTjhKx+9wlJ2WwI/OHMx7G0p4Z73ep47XJZNymHvOMC6b3NvpKEc1Z9ZQEmJcX9nmHQIbekPPg5EKRAl6N5zQn8/vOo24aNexH+wzJjtVnUwlJP3wjCE8fsMUUhNjnI7yFYMzujCge5KWuxDH5RVVUdPoDpn1D1tjreUbD3zKLxeu8+t+t5YcoLaxGVeUicgraNfP7M+wzGT++M7mTllKJJzsq2nE47H0Sk0IiXmcs8dnc89Fo8n2XTGMMvC7C0dp/qGfqECUoHZwTZ32FIcAo3PS2LO/npL9/j87KxJISXHRTA/Cdd2M8a5DumRbuRalFkct8a1/OG1A6M6vM8Zw1sievLthL3v99Dnl9lhufvJLvvP4Cr/sLxTFuKJ44IrxPPmdKRFZIB+v+iY31zyynB8+v8rpKO0ye3w2n991GvdfOhaPhYEZXZyOFDZUIEpQu/25XG5+sv0fdmN8Y9XzinQVUULHA+9v4ellO52OcURnj8rE7bG8t6HE6SgSwRbnlzEsM7lD66cFgyun9MHtsTz/RYFf9vf22j3kl9YctZtkJBjSM5mM5Hg8HktFjU5mtcWvX19PXlEV544JrqkNbXX6sAxcUYYvduxzOkrYUIEoQetAfRPvbSihV2r7JxyP6JVClPE2/BAJBXWNbh78OJ81BcF7UmN0dip90hPZWV7jdBSJYLeeMog7zgr9eUZ9uyVx4uDuPLt8F82+0TLHy1rL3z7cyoAeSZwzKjQP8v3t+0+v5IbHvsDt0VDTo5m/spBnlu3i5pMHcNbITKfjHJeuSbEsmXsaN57Q3+koYUNdTCVovbNuL43NHs5rR/fSg5LiovnojlPJ6apuVhIa3t2wl5pGNxeMb//ve2cxxvDuj09q95BvEX+aEUbNV66a2pdbnvqSZdsrmNmB7+uDjSVs2L2f+y8dG5JLfwTC2aMy+eHzq5jwm3fZX9fU4WUawtHGPfv52St5TO2fzpwQP+mi7tr+pSuIErQWri4mOy2BCX3Sjuv5fbolEqUPSgkRr+YW0Ss1nmn9g2/+YUsHi0OPzsqLAxZvLWP59gqnY/jNGcMzWHjbzA4VhwAfby4lp2sCF4wL3hNMnc1aS5SBqromLFBUWcfc+XksyC1yOlrQqGt0Mzgjmb9eOZ5oV2iXBI3NHr731Jc8vniH01HCQmj/NkjYKq9u4LOtZZw3Nuu4J5pv3nuAufPz/NYAQCRQKmoa+XhzKeePzQqJkxq3PrOSH72wyukYEoH++O5mfvfmBqdj+E20K4oxOWkd3s+vLxjFq7fOJCbED/L96f53NnP4eay6JjfzFm1yJlAQGt+nKwtvmxkWV99io6Mo2FfLq6t0AsAf9E4iQSkuxsUvzx/JpZNyjnsf1Q3NPLt8F6sKKv0XTCQAKmoamTagGxeMC42hTynxMby3fi/1TW6no0gEqWloZlVBJTOCsMtvR1hrmTs/jwfe33Jczz/YVTjUm/b4W3Eri6gfbXskeeSz7dzz5gbcHhtW3V5njcgkt6BSHez9QAWiBKUucdFcPa0vA3scf8viEb1ScEUZrYcoQW9QRhee+s5URmSlOB2lTc4elUlNo5vPtpQ5HUUiyBc7Kmj22JBe/7A1xhjKqht4YskOGpvb16xmxY4Kpv7ufRbn6//i4bLSWu9BkJka+lfLOmLFjgp+9+YGtpfVEAIDVtrlrJGZWOud0y8dowJRgs6eqnqeXb6LA/VNHdpPfIyLIT2TWaOlLiSIVdQ0UnIgtM52Th/QjeT4aN5et8fpKBJBluSXE+uKYmLfrk5H8burpvahrLqRd9a37//U3z7cSpe4aMb1TgtMsBA2Z9ZQEmK+2lDLFWWIdRn2d/D4IlSVVTdw6zMrye6awLxLx4bV1UOAIT270K9bIu+sU4HYUSoQJegsXF3E3Pl5lFd3fP2iMdmp5BVWYq0aakhwemrpTmbc80FIrdcVGx3FGcN78t6GvTR1sD2/SFut3LWP8X3SSIgNvy66Jw3uQU7XBJ5a2vZ1UPMKq/hoUyk3ntifxFg1pT/c7PHZ3HPRaLLTEjBAdloC107vS3FVPVf/ZxlVtZFVJLo9ltufy6Wytol/XjWR1IQYpyP5nTGGa6b3Y0Kf8DuJ1Nn0jiJBZ+HqYsbkpNKve1KH9zU6J5Wl28uprG2ia1KsH9KJ+I+1lgW5RUzs25X0EPv9vHxyb0ZmpdDstsSE3/G6BKFnvjvNLycOg1FUlOHKqX247+1NbC2pZlDGsadX/O3DLaTEe6djSOtmj8/+2rIWMwd153tPreSqh5fy1I1TSUsMrffe47WuuIovduzjt7NHhcx0huNxg9ZC9AtdQZSgsq20mrVF+zn/ONY+bM1VU/vw8ZxTVRxKUMorqmJbWU1Irss1dUA3vnPigLC8miPBKcYVFdbzxy6d2JvrZvQjsQ3/p3ZX1fHehhKum9mf5PjwuxIUSKcP78mDV09k895qbnjsi4gZYTQmJ40PfnIyl03q7XSUgGtodrOuWNOLOkJXECWoLFxdjDFw7hj/FIjhNr5ewssruUXEuqL4xqheTkc5Lvvrm/hoUynnju4VEstzSOh66JN89tc1c8es0F7M+2h6JMfxy/NHtumxvVITWPTDk+ihzqXH5dRhGfznmklYwv84oaCiltyCSs4fm0VO10Sn43SK376+gVdyi/jy/51xaO1eaZ+AXUE0xjxijCkxxqxtsW2eMWajMWaNMeYVY0xai/vmGmO2GmM2GWNmtdg+0RiT57vvAeP7n2yMiTPGPO/bvswY0y9Q34t0nm2lNUztn+7Xs8S/e3MDtz+X67f9ifiDx2N5Y81uTh3Wg9TE0LwC8OHGEn7wbC65BfucjiJh7sUVhRHRcMxay5L8cpZuKz/iYzy+xf0GZXQJ2feOYHDSkB6cPKQHAG/m7ab0QIPDifyvodnN959eyc9fyQupee4dddqwDKobmlmcf+T/R3J0gRxi+hhw9mHb3gVGWWvHAJuBuQDGmBHA5cBI33P+YYw5WPL/E7gJGOy7HdznjcA+a+0g4E/A7wP2nUineeCK8Tx2/RS/7rO6oZkPNpZEzDASCQ1RUYZXb5vJT88e5nSU43bqsAxiXIa316qbqQROyYF6tpRUh936h0fyvwvy+P3bG494/9z5edz+XK4+0/ykvLqBOS+u5vKHloTd+nm/fm09eUVV/PGycSE3z70jZgzqRlKsi3fUafu4BaxAtNZ+AlQctu0da22z769LgYOroF8APGetbbDWbge2AlOMMb2AFGvtEut9J3wCmN3iOY/7vn4JON2E+ziBMOf2nRWN93PHizHZqRyob2Znea1f9yvSUb1SEzq01qfTUuJjmDmoO2+v26ODVQmYJb6rAJFQIBpjuGpqX3J3VbY6h6pwXy0vryyka2Js2A+N7CzdusTx6PVT2F1Vz+UPLWVPVXgUia/kFvL0sl3cfPIAzhzR0+k4nSou2sUpwzJ4d/3eQ8eW0j5ONqm5AXjL93U2UNDivkLftmzf14dv/8pzfEVnFRD+nx5hyuOxnPmnj/n7h1v9vu/ROakAETE8SUJDXaObm59cwcpdoT8085xRmRRU1LF+936no0iYWpJfTnJ8NCOzUp2O0ikunpBDXHQUTy/b9bX7Hvx4G8bATScNcCBZ+JrSP50nbphCyYEGvvXQEoor65yO1CEl++v52fy1TO2fzpyzwnfe7tHMGplJWXUjqzQF4rg4UiAaY34ONANPH9zUysPsUbYf7Tmtvd5NxpgVxpgVpaWl7Y0rnWDlrn1sK60hK83/HeqG9EwmNjqKvMJKv+9b5Hi8u2Evi9btpaEp9NcQPGN4T6LMf6/yiPhbYmw054zKxBUhjZBSE2M4b2wWr+YWUd3QfGh7yf56nl9RwMUTcshKS3AwYXia1C+dJ26cQkV1I+9tCO2F1jNS4pl36Rj+esV4ol2RuWDBacMyePl7MxjfW2siHo9O72JqjLkWOBc43f53TFIh0LLvbg5Q7Nue08r2ls8pNMZEA6kcNqT1IGvtQ8BDAJMmTdK15iC0cHUxcdFRnDki0+/7jnFFcfGE7Ijp3iXBb0FuEb1S45naP93pKB3WrUscn915mg5YJWD+77wRTkfodFdN7cNHm0rYsvcA432Lfj/82Xaa3R6+d8pAh9OFrwl9uvLeT06mZ4r3ZLXHY0OqQ7O1lp3ltfTrnuS3bvChqktcNBP7qjg8Xm0+rWCMiTLGjDfGfNMYc5oxpt0Dmo0xZwN3Audba1tOCFsIXO7rTNofbzOa5dba3cABY8w03/zCa4BXWzznWt/XlwAfWE2CCUnNbg9v5u3mjOE96RIXmHMW91w0hmtn9AvIvkXao7y6gU82l3L+uKyQOvA4GhWHEigNzW6nIzhiXO80lsw9/VBxCN5hpQ9cMZ6+3ZIcTBb+DhaHa4uq+MYDn7KzvMbhRG33yOc7OOvPn7C+WEP+AYor6/i/V9eyteSA01FCzjELRGPMQGPMQ3gbx9wLXAF8H3jXGLPUGHO9MeZr+zHGPAssAYYaYwqNMTcCfwOSfc9dZYz5F4C1dh3wArAeeBu41Vp78FPhe8B/fK+fz3/nLT4MdDPGbAV+DNx1XD8Bcdzi/HLKqhs5b2xg14Jrcnsi9mBDgscbebtp9lguHJ997AeHiGa3hx88m8ujn293OoqEmTtfWsPF/1zsdIxOZ4whxhWF22Opqm0CvFfrI/2qUGcyBvbur+dbDy5lW2m103GOacWOCu55cwMnD+nB8F7JTscJCtEuw5NLd/JWnrqZtldbLtf8Fu9SEzcffoXOGJMBXAlczX87igJgrb2ilX09fKQXsdbeDdzdyvYVwKhWttcDl7YhvwS5AT2SuP30wZwyNCNgr7GzvIYz//QJv794NBeOzzn2E0QCJCU+hm+MzmRYZorTUfwm2hXFropadpTXcP3M/k7HkTBhrWVxfjlTB0Rm/zmPxzLz3veprG2ivtlDjy5x/Pybw5kdRieXgtnIrFSevWkaV/17GZc/tJRnvjuNQRnB2XW6rLqB257JJbtrAvdfOlYdbn0ykuMZ3zuNRev38D+nD3Y6Tkg55hVEa+0V1tpPWhu+aa0tsdb+2Vr7eGvPFWmLnK6J/OjMIX5f3qKl7LQEXMawplCdTMVZs8dn84+rJjodw+/OHpXJmsIqCvdpORnxj/zSGkoONETE8hatWbi6mNLqRuqbvc2sSqsbmDs/jwW5RQ4nixzDMlN49qZpeKzl8oeWsisIl8tyeyy3P5fLvtpG/nHVBFITYpyOFFTOGpnJ2qL9FIV4Z9rO1q7WRsaYGcaYK40x1xy8BSqYRIbVBZW8t34vze7AdnOMdkUxMiuFPBWI4qAtew9Q1xiew5zPHultMLVoXWh3/5PgsSS/DIiM9Q9bM2/Rpq+t4VbX5Gbeok0OJYpMQ3om89xN0zhtWA8yU/3fab2jrLWMzk7jNxeMipilYNpjlu+z6Z11GmbaHu1pUvMkcD9wAjDZd5sUoFwSIR76dBt3vrym9fVJ/Gx0TirrivcHvBgVaY21lpuf/JLvPf2l01ECol/3JIZlJrNorT6ExT8W55eTnZZAn/TI7EB9pLX4Qn2NvlA0KCOZ+y4ZS2x0FBU1jWzaExxNTzweS7QrirvOGcZlk3sf+wkRqH/3JKb2T6fZrT6W7dGelpGTgBHqFCr+UtPQzPsb9nLpxN7EdMI6PWNyUnn08x3kl9YwNFMTuKVz5RVVsa2sJqwXuL5qWl+K9tVhrdUcGOmwC8Zlc+rQjIj9XcpKS2h1WJy6Bjtrzour+XLXPp66cSqjsp27YldQUct3Hl/B7y8Zw7jeaY7lCAXP3zzd6Qghpz1H5WsB/y9SJxHr3fV7qW/ycP64zunKNqV/N+bMGkpKQqcv/ynCK7lFxLqiOGd0YLv1OunqaX2565xhEXtAL/519qjMiL4qMmfWUBIOm5ufEONizqyhDiUSgF+cN5Kk2Giu/PdS1hRWOpKhodnNrc+spLiyjjTNOWwTay0H6pucjhEy2lMgdgfWG2MWGWMWHrwFKpiEv4Wri8lKjWdin85ZyDQ7LYFbTx1Er1SdfZXO1ez28Nrq3Zw2LCPsGwg0uT2sLdJcX+mYtUVVbN4bHMP4nDJ7fDb3XDSa7LQEDN7PsHsuGq0upg7r0y2R526aRkpCDFf9ZxmrCio7PcOvX1vPmsIq7r9sLP26a13MtvjWg0v5yQurnY4RMtpzKeWXgQohkafJ7WFbaTXnje3cxcL31TSyrayGiX07pygVAfhixz7Kqhsi4sDugfe38M+P8vnyf88kNTG8i2EJnD++u5kdZTV8cMcpTkdx1Ozx2RHxvhFqeqcn8vzN07nioaX8vwVrWXjbzE4bOfFKbiFPL9vFzScNONSARY5teK9knl9RQF2jm4TYwHXNDxdtvoJorf0Y2Ih3oftkYINvm0i7xbii+OAnp/DDM4Z06uv+8+N8rvj3UprUqEY60bQB6bx22wmcOqyH01EC7vThPWn2WN7fqG6mcnya3B6WbStneoR2L5XQkJ2WwPM3T+PBqyd26rD6d9fvZUr/dA01bqezRmZS3+Thky2lTkcJCe3pYnoZsBzv4vSXAcuMMZcEKpiEN4/HEhVlOv0szujsVBqbPRE/dEk6lzGG0TmpxEWH/1nLMdmp9EqN5y11M5XjlFdURU2jmxkDuzsdReSoeqUmkJWWgNtjmTs/j6XbygP+mn+7YgL/uXYS0Z3Q3C+cTOmfTmpCDIu03EWbtOe36+fAZGvttdbaa4ApwP8LTCwJZ3uq6pnyu/f5wIErDGNyvB3HtB6idJZF6/Zw50trImZyfFSUYdbITD7ZXEpNQ7PTcSQELcn3HmRPG5DucBKRtjlQ38QXOyq47tHlLN5a5vf9W2v583ubKa6sIyrKkBKv4fvtFeOK4vRhGby/oUTLnbVBewrEKGttSYu/l7fz+SIAvL6mmLLqBvp26/yJ1X3SE0mJj2aNmmhIJ3n+iwI+3VJKUmzkdM+dNTKThmYPn2zWUB5pvyX55QzLTKZblzino4i0SVpiLM/dNI2+6Ulc/9gXfOrnYYyPfr6DP7+3RSMzOui6mf34/cVjOmXt7VDXngLvbV8H0+uMMdcBbwBvBiaWhLPXVhczMiuFgT26dPprG2MYk5OmK4jSKcqrG/h4cynnj8vu1GZMTpvcryvP3zSNs9RAQY7D36+cwF8uH+90DJF26d4ljme+O5X+3ZO48fEVfLSp5NhPaoMVOyr43ZsbOHNET26Y2c8v+4xUY3LSOHtUZqesvR3q2tOkZg7wEDAGGAs8ZK29M1DBJDztLK9hdWEV54/tnLUPWzNn1lDmXTrGsdeXyPFG3m7cHsuFEdaFMNoVxdQB3XBFUFEs/pOaGMPQzGSnY4i0W7cucTz73WmMyfbPnPOy6gZufWYl2V0TuP/SsVpj1g92ldfy70+2Ya2uIx5Nu8Y8WWtfBl4OUBaJAK+tLgbgXAcLxLG90xx7bYksr+QWMSwzOSIPdqtqm/jL+1s4c0RPdaOUNnv5y0LKqhu4+eSBTkcROS5dk2J58Zbph4q5wn215HRNPK593b9oE5W1Tcz//uSwX0O3syzbXs7db25g2oBujPb1pZCvO+YVRGPMZ74/Dxhj9re4HTDG7A98RAknMwd156dnDyU7zbnF6pvdHl76spAvdlQ4lkHCn9tjGZuTxtXT+zodxRHxsVG8uKKAV3ILnY4iIeSZ5bs0z0pC3sHi8K283Zx2/8e8fZy/0z//5nAevW4yI7NUyPjLGcN7EmVQN9NjOGaBaK09wfdnsrU2pcUt2VqbEviIEk7G9+nK908Z5GgGV5Thd29u4KUVOnCVwHFFGX55/kiumhqZBWJctIvThmfw7vq96hgnbVLd0Mzqgkpm6IqzhIkTBndndE4qtz6zkjfW7G7z89YWVVHf5CY5PoYZg7Tciz91TYplSv903lmvAvFo2nIFMf1ot84IKeHhw40lrCmsdDqGd0267FR1MpWAsdby5c59eDyRPcfhnFGZ7KttYrmu1ksbfLGjgmaP1fqHEjaS42N4/IYpTOiTxg+ey+XVVUXHfE5BRS1X/WcZc+fndULCyHTWiEw2761me1mN01GCVlua1HwJrPD9efhtReCiSTix1vJ/C9dy/zubnY4CeNdD3Lz3APVNbqejSBhaU1jFxf9czCu5xz4YCGcnDelBfEwUizRkUNpgSX45sa4oJvbt6nQUEb/pEhfNY9dPYVLfrvzo+VVsLak+4mMbmt3c+sxKPNbywzMGd2LKyHLWyJ7ERkexvlgz5Y7kmE1qrLX9OyOIhLfcgkoKKuq4/fQhTkcBYHR2Km6PZf3u/Uzoo4MR8a9XcouIdUVxxoieTkdxVGJsNOePzSIupuPd/CT81TQ0M3VAOgmx+n2R8JIUF82j10/mvQ0lDMo48hJfv35tPWsKq3jo6omOrBUdKXK6JrLq/84kMYLWJ26vY/5kjDETjna/tXal/+JIuFq4qpjY6CjOGhkcB8xjctIA2LTngApE8atmt4fX1xRz+vAMdZ0D7rtkrNMRJETcfeFotZ6XsHXwhBnAyl372FpSzWWTeh+6f0FuEU8v28XNJw3QGrKd4GBxaK3V8iGtaEvp/Iej3GeB0/yURcKU22N5I283pw7tQUp8cBww90yJY/nPTycjOd7pKBJmPttaRll1I7MjbO3Do7HWsq+2ifSkWKejSJA6eJCmAzWJBI98tp3X1+zmix0VLN5aTnFlHRkpcUwfmM6cWUOdjhcRqmqbuO6x5Vw2qTdXTOnjdJyg05Yhpqd2RhAJX9vLqqlrdHP+2OA5YDbGqDiUgFi0bg8p8dGcMrSH01GCxl0v57F0ezkf3XGKCgBp1W9e38DmvQd48sYp+h2RsPeHy8ayrbSaF1t0U9+7v4H9dc28vma3TjB2gpSEaMqrG3l77R4ViK1oSxfT03x/XtTaLfARJdQNykhmxf+ewZlBNh9rxY4Kbn16JTUNzU5HkTDy6wtG8cIt04mL1jyqg8b1SWNneS0b9xxwOooEqU+3lOKK0hVEiQxx0S4qa5u+tr2uyc28RZscSBR5jDHMGtmTxfll7K//+r9FpGtLF9OTfX+e18rt3ADlkjBhrcVaS3yMi9jotvy6dZ6quibeyNvN+t3qYiX+E+OKYlimloht6cwR3oWJtQC6tKbkQD1bSqq1/qFElN1V9a1uL66s6+QkkeuskZk0uS0fbSp1OkrQOeYRu7X2F74/r2/ldkPgI0ooe29DCWf96RN2ldc6HeVrRmenAt4lCUT84Wev5PHIZ9udjhF0uneJY3K/dC13Ia1akl8OoPUPJaJkpSW0a7v434Q+XeneJZZF6/TZdLg2X9IxxqQZY35gjPmjMeaBg7dAhpPQt3B1MWXVDfRKC775fhkp8WSmxJNXWOl0FAkDZdUNPP9FASUHGpyOEpTOHpXJpr0H2FZ65DXAJDItyS8nJT6aEVm68i6RY86soSQctgRQQoxLTWo6kSvKcOupgzhliHoGHK49C4C8CSwF8gBPYOJIOKltbOa99Xu5cEI2Ma7gGl560OicVNYU6QqidNwba3bj9lguVHOBVn1zdC+6d4kjMzX4ThaJsyb3S6d3eiKuKM0/lMhxsBHNvEWbKK6sIystgTmzhqpBTSe7fqaWe29NewrEeGvtjwOWRMLOu+v3UtfkPrTuTzCa2Lcre/fX0+T2BG0RK6HhldwihmUmMzQz2ekoQSkjJZ7zgvi9QJxz8cQcpyOIOGL2+GwVhEGgrLqB7WU1TO6X7nSUoNGeI+InjTHfNcb0MsakH7wFLJmEvNdW7yYzJZ4pQfwf7paTB7LwthNUHEqH7CirYVVBpa4eHkNZdQP/+jif3VVqwiBeBRW1lFVrWLaIOOcXC9fxvae+xO2xTkcJGu05Km4E5gFLgC99txWBCCXh4cLx2fz4rCFEadiQhKkFuUXMvPcDTr3/I+JjooiL0YmGo9lf18S9b23kbTWrEZ8/vLOJs//8KdbqwExEnHHWiJ6UVTeSu2uf01GCRnuOZn4MDLLW9rPW9vfdBgQqmIS+b47pxWWTejsd45h+8GwuP31ptdMxJMQsyC1i7vw8iirrsEB9k4ffv7WJBblFTkcLWgN6dGFoz2QtdyGAdxmkxfnlTB/YTesfiohjTh2WQYzL8M76vU5HCRrtKRDXAcG3VoEEpYWri0NmLZ8mt4el2yqcjiEhZt6iTdQ1ub+yTYscH9usUZl8saOCUnV7jXj5pTWUHGjQ+oci4qiU+BimD+zOonV7NJrBpz0FohtYZYx5UMtcyNGU7K/n9udyeW75LqejtMnonFR2VdRSWdvodBQJIUc6ARIqJ0accs6oTKyF9zboTG2kW5JfBqACUUQcd9aInuwsr2VHEK7b7YT2dDFd4LuJHNXra3ZjLZw/LjQ6Fo7JTgMgr6iKEwdrLRxpm6y0BIpaKQa1yPHRDctMZmCPJIr2qZCOdIvzy8lOS6BPeqLTUUQkwp03NotThvYgp6vej6AdBaK19vFABpHw8dqaYob3SmFQRmi0+x+dnQrAmkIViNJ2c2YN5Y4XV9PcouuZFjk+NmMMb//wJHUOFn72jeEUVdZp/qGIOC41IYbUhBinYwSNY35CG2NeM8acZ4z52k/NGDPAGPNrY8wNgYknoaagopbcXZVBvfbh4VITY7hsUo7OYku7nD0qk/iYKOKjozBAdloC91w0WmtatcHB4lAtxSNb7/REpg3Q8FIRCQ6b9hzgpidWtDo6KNK05Qrid/F2MP2zMaYCKAXigf7AVuBv1tpXAxdRQsnKXftwRRnOHdPL6Sjtct8lY52OICFmbVEVjW7Lo9dNZuag7k7HCTm3PbMSt8fyz29PdDqKOODDjSWUHKjnskm9dQVRRIJCbHQU76zfy4yB3bhuZn+n4zjqmAWitXYP8FPgp8aYfkAvoA7YbK3VTE75igvGZXPykB6kJcY6HaXdDtQ3ERsdRVy0y+koEgIm9Utn6dzT6ZqoISnHIz0plhdWFFDb2ExibHumw0s4eGLJDnZW1PKtyX2cjiIiAkD/7kkMzujConV7I75AbNckEGvtDmvtEmvtKhWHcriDrYFDsThcuWsfo3/5Dovzy52OIiGgrtG7vEV6Uqyufhyns0dmUt/k4eNNpU5HkU7W5PawfHuFupeKSNA5a2RPlu+oYF9NZHe2b3OBaIyZboz5whhTbYxpNMa4jTH7j/L4R4wxJcaYtS22pRtj3jXGbPH92bXFfXONMVuNMZuMMbNabJ9ojMnz3feA8R2NGWPijDHP+7Yv813dFAf96b0tXP3wMprdHqejtNvgjC4YA3mFVU5HkRDwg+dy+c7jXzgdI6RN6Z9O18QY3l63x+ko0snWFFZR0+hmxkANzRaR4DJrZCZuj+X9jSVOR3FUe64g/hW4AtgCJADf8W07kseAsw/bdhfwvrV2MPC+7+8YY0YAlwMjfc/5hzHm4Di/fwI3AYN9t4P7vBHYZ60dBPwJ+H07vhfxM2stC3KLAIgOwe6EyfExDOiexBoViHIMO8treG/DXoZlpjgdJaRFu6I4c0RPPthQQkOz2+k40okOrn+oBjUiEmxGZ6dy4uDuxEaH3rGsP7V3iOlWwGWtdVtrHwVOPcpjPwEqDtt8AXBwuYzHgdkttj9nrW2w1m7H2/xmijGmF5DiG9ZqgScOe87Bfb0EnH7w6qJ0vtWFVeyqqOW8EOpeergxOWnkFVU6HUOC3GOLd+Ayhqun93U6Ssj71uQ+/OjMIepmGmF2VdQyvFcK6UmhNx1BRMKbMYYnb5waUt34A6E9nQFqjTGxwCpjzH3AbiCpna/X01q7G8Bau9sYk+Hbng0sbfG4Qt+2Jt/Xh28/+JwC376ajTFVQDegrJ2ZxA8Wriom1hXFrJGZTkc5bqOyU3klt4i9++vpmRLvdBwJQgfqm3hxRSHnjuml3xE/mNi3KwUVtZz5x08orqwjKy2BObOGaqmQMHffJWOpb9JVYxEJXvVNbqobmuneJc7pKI5ozxXEq32Pvw2oAXoDF/kpR2tX/uxRth/tOV/fuTE3GWNWGGNWlJaqIYK/uT2W19cUc/LQHiG9yOgpQ3vwmwtGEq8upnIEL39ZSHVDMzecENndzfxlQW4Rd81fQ1FlHRYoqqxj7vy8Q8PVJXzFx+h9VkSCk7WW0//wMfe8udHpKI5pT4E421pbb63db639lbX2x8C57Xy9vb5ho/j+PDgDtBBvwXlQDlDs257TyvavPMcYEw2k8vUhrQBYax+y1k6y1k7q0aNHOyPLsTS5PXz3xAFcO72f01E6ZGCPLlw9vR+pWrZAjuCyyb35+5UTGJOT5nSUsDBv0Sbqm77a1Kquyc28RZscSiSB9uDH+dz85Ao8GlYsIkHKGMPU/um8v3FvSDZe9If2FIjXtrLtuna+3sIW+7kWeLXF9st9nUn7421Gs9w3HPWAMWaab37hNYc95+C+LgE+sAfXWZBOFR/j4rsnDeCEwaHfka5wXy1Lt2mpC2ldYmw03xzTy+kYYaO4sq5d2yX0vbN+L3v3NxAVpZYBIhK8zhqZSWVtE8t3tHrtKewds0A0xlxhjHkN6G+MWdji9iFwxCNpY8yzwBJgqDGm0BhzI3AvcKYxZgtwpu/vWGvXAS8A64G3gVuttQcnKHwP+A/exjX5wFu+7Q8D3YwxW4Ef4+uIKp2rsdnDgtwiqhuanY7iF39+bwu3PbMSnWuQw9350hoWri4+9gOlzbLSEtq1XUJbdUMzqwsqtf6hiAS9k4Z0Jy46infW7XU6iiPa0qRmMd6GNN2BP7TYfgBYc6QnWWuvOMJdpx/h8XcDd7eyfQUwqpXt9cClR0wtneKzraX88PlV/OeaSZwxoqfTcTpsTE4qL31ZyO6qeh2kyiHriqt4fkUBA3q0ty+XHM2cWUOZOz+PuhYNS2JdUcyZNdTBVBIoX+yooNljtf6hiAS9xNhoThrSg3fW7eEX540g0hZKOGaBaK3dCewEpgc+joSahauKSU2I4aQh4TG3c3R2KuBdyFkFohz06Oc7SIhxcfnkPk5HCSsHu5XOW7SJ4so64mNc3HbaIHUxDVNL8suJdUUxsW9Xp6OIiBzTD04bjDtCR5S1eZkLY8w04K/AcCAWcAE11lqtFh2h6hrdvLN+L+ePzQqbBUWH90ohOsqQV1TJ2aNCd8kO8Z/SAw0sXFXMtyb3VgOjAJg9PlsFYYTok57Ityb3JiFWHUxFJPiNzkl1OoJj2nNU/zfgCmALkAB8B2/BKBHq/Y17qW10c/648FlMND7GxZCeyawprHI6igSJZ5btotHt4bqZ/ZyOEhGqG5q548XVfLxZSxKFm29P68tvZn9txoiISNBaXVDJn97d7HSMTteuyz7W2q2Ay1rrttY+CpwamFgSCr7cuY+M5Dim9g+vhgP3XTKGey8e43QMCRKjslO4+eQBDOzRxekoESE6ypC7ax9zX17Dgfomp+OIn1TUNFLfYq6piEgo+HLnPv7y/ha2l9U4HaVTtadArDXGxAKrjDH3GWN+BKhjQwT7xXkjeev2E3GFWbvyUdmpZGv+oficPrwnc88Z7nSMiBEf4+K+S8aye389974VuYsUh5s/v7eZ6fe8j1vrH4pICDlrpLcB47vr9zicpHO1p0C82vf424AavIvUXxyIUBL8Di4D0a1LnMNJ/K+2sZlHPtvOqoJKp6OIg6y1PLV0JxU1jU5HiTgT+3blxpn9eXrZLhZvLXM6jvjB4vxyxuSkhd0JRREJbzldExmZlcKiCFvuos0Foq+baTIQZ639lbX2x74hpxKBvvfUSu55a4PTMQLCFWW4962NvL02ss4WyVct317B/y5Yq98Dh/zkrKH065bIb9/YoHVJQ1zJ/nq2llRr/UMRCUmzRmayctc+Sg7UOx2l0xyzQDRevzTGlAEbgc3GmFJjzP8FPp4Eo9IDDbyzfg/RYXomOC7axbBeyeQVVTodRRz0yOfb6ZoYw0UT1GHTCQmxLv5+1QQevm5SxK0/FW6WbCsH0PqHIhKSzhrZk25JsWwvjZx5iG25gvhDYCYw2VrbzVrbFZgKzPTNQ5QI89ba3XgsnD82fA+cR2ensqawCo/my0SkXeW1vLN+L1dO7UN8jFryO2VkViq9UhOw1lKyP3LO3IaTBblFzJ2fB8DNT61gQW6Rw4lERNpnaM9klv3sDKYOiJxREG0pEK8BrrDWbj+4wVq7Dfi27z6JMAtXFTO0ZzJDM5OdjhIwY3JSOVDfzM6KWqejiAMeX7IDlzFcPa2f01EEuPPlNXzroaXUNaoLZig5WBzW+v7diivrmTs/T0WiiIQUYwyuKIO1NmIabbWlQIyx1n6tS4C1thTQqtERpqiyjhU793He2F5ORwmo0dlpRBnIL6l2Ooo4oKy6gW+O6UVmarzTUQSYPS6b7WU1/PHdTU5HkXaYt2gTdYctbVHX5GbeIv07ikhoKaioZea9H/Bm3m6no3SK6DY85mgt/NTeL8K4jOGmkwaE9fBSgKGZyaz91SwSY9vyX0TCzV8uHx8xZwlDwYxB3blyah8e/mw754zuxYQ+XZ2OJG1QXFnXru0iIsEqKy2BRreHd9bv5byxWU7HCbi2XEEca4zZ38rtADA60AEluGSmxvOzbwynT7dEp6MElCvKqDiMQB6PpcA3rFjt+IPL3HOGkZkSz09fWqMF10NERkrryyBlaZ1ZEQkxrijDGcN78uHGEhqaw/8z6JgForXWZa1NaeWWbK3VENMIUlRZx6dbSml2e5yO0ineW7+XGx/7Qo1qIsgHG0s4ed6HLN9e4XQUOUxyfAz3XDyGukY3hfs0NzgU9O+W9LVtCTEu5swa6kAaEZGOmTUyk+qGZpbklzsdJeDavA6iyPNfFHDNI8spj5CFwyvrmnh/YwnbyiKnrXGke+Tz7WSmxDOhT5rTUaQVJw/pwQd3nMygjPBtkBUudlfV8eWufcwc2I3stAQMkJ2WwD0XjWb2+PCeoiAi4Wn6wG4kxbpYtG6v01ECTmPopE2stby2uphp/bvRMyUyGneMyUkFIK+okkEZXRxOI4G2Yfd+FueXc9c5w4h26dxZsIqLdtHQ7Oappbu4elpfYqP1bxWMHvpkG9bC7y8ZQ07X8J6SICKRIT7GxV3fGE6/MJ9mBbqCKG20tmg/28tqOH9c+E/MPWhgjy4kxLhYXVDldBTpBI9+vp2EGBeXT+7tdBQ5hi+27+M3r6/n7x9udTqKHEFO10Sun9lPxaGIhJWrp/XlxME9nI4RcLqCKG2ycHURMS7DOaMynY7SaVxRhlHZKeQVqUAMd3WNbt7K28PFE7NJS4x1Oo4cwwmDu3Ph+Gz+/uFWZo3MZERWitOR5DA3ntDf6QgiIgGxac8BSg7Uh3WhqCuIclQLcouYee8H/PvT7biM4aNNpU5H6lTTB3Sja6J6MYW7hFgX799xMv9z2mCno0gb/eK8EaQlxjLnpdU0RUjjrFCwv76JV1cVRUwzMxGJPHe/uYH/t2At1oZvE0MViHJEC3KLmDs/jyLfmlX1zR7mzs9jQW6Rw8k6z4/PGsp/rp3sdAwJoINv8BnJ8REzvzYcpCXG8tvZI1lXvJ8HP853Oo74PLV0J7c/t4qNew44HUVEJCDOGtGTHeW1bCmpdjpKwKhAlCOat2gjdYetN1bX5Gbeok0OJXJOOJ8linQLVhVx2YNLKK9ucDqKtNPZo3rxg9MGcdqwnk5HEbxDtR/+dDsnDenBqOxUp+OIiATEWSO8nznvrNvjcJLAUYEorVpXXEVRZX2r9xX7rihGikv/tZhfvbbe6RgSANZaHv5sOxU1jaQnae5hKPrxWUMPzUHUiRxnvbCigPKaRm49ZaDTUUREAiYjJZ7xfdLCerkLFYjyFSX76/npS6s596+fEWVaf0xWWkLnhnKYK8qQW1DpdAwJgBU797G2aD/Xz+yHMUf4hZeg19js4ScvrOahT7Y5HSViNTZ7ePDjfCb17cqU/ulOxxERCahZIzPZvPcA+8J0bXAViPIVn20t45XcIm6c2Z/fzh5FQozrK/cnxLiYM2uoQ+mcMSYnjQ2799PYrKYL4eaRz7aTmhDDReNznI4iHRDjMhyob+IP724mvzR854QEs91VdcTHurj11EE62SIiYe/KqX1Y+f/OpGuYjj7SMhcRzuOxLFxdTKPbw2WTejN7XDaT+6XTO927dlVibDTzFm2iuLKOrLQE5swayuzx2Q6n7lyjs1NpbPawee8BzasJIwUVtSxat4ebTx5IQqzr2E+QoGWM4bcXjuLMP37CT19awws3T8d1pCEQEhB9uyXx7o9OPuLIExGRcJISH94d7lUgRrAVOyr4zRsbWF1QycxB3bh0Yg5RUeZQcQgwe3x2xBWEhxuT4y0K84qqVCCGkfSkWP7fuSOYNTJy1vYMZxnJ8fzivBH8+IXVPL54BzdoHb5Ok19aTWZKPElxOqQQkcixdFs5v397I49eNzns1lDWENMIVFBRy61Pr+SSfy1hT1Ud9186lidvmKphQUfQJz2Ryybl0Ltr4rEfLCEjKS6a62f2j7g5teHswvHZnDYsg399nE/9YR2YJTCstfzg2Vy+/fAyp6OIiHSqhBgXubsqeX9DidNR/E6n+yLQ7qp6PthYwg/PGMxNJw0gMVa/BkdjjOG+S8Y6HUP86PU1xdQ0NHPpxN5EaUxc2DDGcO9Fo3FbS3yMhg13ho83l7KueD/3XTzG6SgiIp1qTE4qmSnxvLN+DxdPDK9eBqoMIkCz28NzXxRQcqCBH585hCn901ky97SwuxweSNZadlfV0yM5jhiXLryHMo/H8od3NpOaEMO3JvdxOo74WUZKPOD9P7u1pJrBPZMdThTe/vFhPlmp8RE/FUFEIo8xhrNG9uSFFQXUNbrDqp+BjnTD3MebS/nGA5/yvwvWsmJHBW6Pd50wFYft8+76vcy49wPWF+93Oop00EebS9heVqM5amHu/nc2ccHfP6egotbpKGFr+fYKlu+o4KaTBhAbrcMJEYk8Z43IpL7Jw6dbSp2O4ld6Rw9TO8truPaR5Vz7yHLqmzz869sTePo7U9XZ7zgdXIh7TVGVw0mkox75bAeZKfGcM0rNacLZFVP6YIC58/Ow1jodJyx9uKmEbkmxuhIvIhFr6oB0Zo3sSZf48BqUqQIxjK0rruLn3xjOuz8+ibNH9VITmg7ITksgPSmWvMJKp6NIB2zac4DPtpZxzYy+Gioc5nK6JnLXN4bz2dYynv+iwOk4YenOs4fx1g9PDKthVSIi7RHjiuLBqycxY2B3p6P4lY6QwkRDs5sHP87n9udyAe+aVJ/fdRrfPWkAcdH68O4oYwyjs1NZU6griKGsuqGZyf26coWueESEq6b0YdqAdO5+YwO7q+qcjhNW9tc3Ad7lRUREIl3pgQb2VNU7HcNvVCCGOGstb+bt5ow/fsw9b23kQH3zofbuKgz9a0xOKltKqqlrVPv8UDWxb1devGUGXZM0BzcSREUZ7rt4LD1T49m7v8HpOGEjv7SaKXe/x6J1e5yOIiLiuIZmNyfd9yH/+jjf6Sh+E14DZiNMQUUtP3lhNct3VDAsM5knb5zCiYN7OB0rbH1zTC8GZXRBI3VD05c79zGoRxdSE2OcjiKdqE+3RN754UlazsSP/vWR9yBoYt+uDicREXFeXLSLmYO68+76vfzivBFhMaVLVxBDkMfXiTQlIYbKukbuuWg0b/zgRBWHATYsM4ULxmVrfbUQ1Njs4XtPfclPXlzldBRxQFSUoaHZzZ/f20zJ/vAZAuSEoso6Xskt4vLJfejeJc7pOCIiQeGskT0pqqxjXZh0u1eBGEJqGpr54zubuOifi3F7LKkJMSz64UlcMaWPupN2kg2797N4a5nTMaSd3szbTcmBBq6a1tfpKOKQ3ZX1/POjfH6+YK26mnbAvz/ZBsBNJw1wOImISPA4Y3hPogy8EyZD71UghgCPx/LCigJOvf8jHvhgK73TE6luaAYIi8vYoeT+RZv4xcJ1TseQdrDW8sjn2xnQI4mTdZU9YvXrnsRPzhrCu+v3snB1sdNxQlJNQzMvrijgognZZKUlOB1HRCRopCfFMrlfOu+s3+t0FL/QHMQgt7uqju88voJ1xfsZ1zuNf357ouZ9OGh0TiofbCqhpqGZpDj99wkFK3ftY01hFb+ZPUrz0CLcjScM4I28Pfxy4TpmDuquIZLtlBQXzRs/OJHYaJ1bFhE53C/OG0lamPQ5cORd3hjzI2PMOmPMWmPMs8aYeGNMujHmXWPMFt+fXVs8fq4xZqsxZpMxZlaL7RONMXm++x4wYXQ57WAn0h5d4ujeJY6/XD6OV74/Q8Whw8bmpGEtYTPGPBIsyS8nNSGGiydkOx1FHOaKMtx/yRhqGtz86rX1TscJKQeH5fbrnqSrhyIirRiRlRI274+ms+diGGOygc+AEdbaOmPMC8CbwAigwlp7rzHmLqCrtfZOY8wI4FlgCpAFvAcMsda6jTHLgduBpb59PGCtfetorz9p0iS7YsWKgH1/7bUgt4h5izZRXFlHVloCt546kPzSGt7M2807PzqJ5PjwOBMRLkoPNDD57vf4328O5zsnag5OqNhX06ilLeSQl78sZERWCsN7pTgdJWT8/cOt5O6q5B9XTdAVRBGRI3h/w16+2LGPu84Z5nSUYzLGfGmtndTafU69y0cDCcaYaCARKAYuAB733f84MNv39QXAc9baBmvtdmArMMUY0wtIsdYusd4q94kWzwkJC3KLmDs/j6LKOize7nA/e2UtD3+2nVOG9sDtUSOFYNMjOY6s1HjyiqqcjiJtUNvonaur4lBaunhizqHisNntcThN8KttbObhz7bj9nhUHIqIHMXaov08+Ek+pQdCe+3dTn+nt9YWAfcDu4DdQJW19h2gp7V2t+8xu4EM31OygYIWuyj0bcv2fX349pAxb9Em6pq+vuh6RnIc91w0hrREHdQGo0eun8yvLxjldAw5hpqGZk74/Yc88tl2p6NIELLWcudLa7jjxdVORwl6zy0voKKmkVtPHeR0FBGRoHbWyJ5YC+9tCO1mNZ1eIPrmFl4A9Mc7ZDTJGPPtoz2llW32KNtbe82bjDErjDErSktL2xs5YIor61rdHupnHcLdsMwUUhM09DfYzV9ZSEVNI2N7pzodRYKQMYbM1HgWrCrmvTDpOhcIjc0eHvpkG1P7pzOpX7rTcUREgtqwzGT6pCeG/HIXTowVOQPYbq0ttdY2AfOBGcBe37BRfH+W+B5fCPRu8fwcvENSC31fH779a6y1D1lrJ1lrJ/XoETxt7o80kTVcJriGq4qaRv783mbWq1FN0PJ4LI8u3sHYnFQm9FFjJ2ndracOYlhmMj97JY+q2ian4wSlV3IL2bO/XlcPRUTawBjDWSN68vnWcg7Uh+7nihMF4i5gmjEm0dd19HRgA7AQuNb3mGuBV31fLwQuN8bEGWP6A4OB5b5hqAeMMdN8+7mmxXNCwpxZQ0mIcX1lW0KMizmzhjqUSNrqz+9t4dMtwXM1Wr7q4y2lbCut4YYT+mutUDmi2Ogo7r90LOU1jfzmDXU1bc1ZIzL59QUjOXFwd6ejiIiEhFmjMhmY0YXdVfVORzlunb6Qm7V2mTHmJWAl0AzkAg8BXYAXjDE34i0iL/U9fp2v0+l63+NvtdYenLj3PeAxIAF4y3cLGbPHe6dMtuxiOmfW0EPbJTilJ8WS0zWBNWpUE7Qe+3wHPVPiOGdUL6ejSJAblZ3KLScP4IklO/np2UPJSI53OlJQ6ZoUyzXT+zkdQ0QkZEzul85bt5/odIwO6fRlLpwWbMtcSGj6/tNfsrZoP5/89FSno0grdlfVsb2shhkDddVDjq2h2c2+miYyU1UcHmSt5ScvrOaiCTmcoKuHIiLtVt/kJjrKEO0Kzu7PwbjMhUhIG52dxq6KWiprG52OIq3olZqg4lDaLC7aRWZqPB6PZem2cqfjBIUPN5UwP7eIvftDd4iUiIhT8gqrmPCbd/lsa5nTUY6LCkSR4zAmJ5WEGBc7ymudjiIt7Ktp5PpHl7OuWMN/pf2eWb6Lyx9ayuch+oHuL9Za/vbBVrLTEjh/XJbTcUREQs7gnl0wwDsh2iVbBaLIcZjaP521v5rFuN5pTkeRFp5ZvosPN5USHaW3Nmm/SybmMKB7Ene+vIaahman4zhm2fYKVu6q5JaTBxATpEOjRESCWXyMi8EZXXhu+S763/UGM+/9gAW5RU7HajO984sch2hXFK4odccMJk1uD08u2ckJg7ozNDPZ6TgSguJjXNx3yRiKKuu47+2NTsdxzN8/3Er3LnFcOqn3sR8sIiJfsyC3iHW79+Ox3kXaiyrrmDs/L2SKRBWIIsfphRUF3PjYF07HEJ+31u5hz/56bjihn9NRJIRN6pfOdTP68fiSnSyLwPmI1lrOGdWLn549lPjDlmESEZG2mbdoE03urzYCrWtyM2/RJocStU+nL3MhEi6qapt4f2MJZdUNdO8S53SciPfIZ9vp3z2JU4ZkOB1FQtycWUPZtOcAkdXj28sYw5VT+zgdQ0QkpBVX1rVre7BRgShynEbnpAKQV1TFqUNVlDjJ7bF8Y3QmGcnxRGnor3RQYmw0z3x3GuAdJhQpa9VuLTnA4vxyLpvUW1cPRUQ6ICstgaJWisGstAQH0rSfhpiKHKeRWSkY421lLM5yRRluOmlg2B64izNeWlHAHS+upqiyLiTnkLTXPz7M5543N1Lb6HY6iohISJszaygJh51oS4hxMWfWUIcStY8KRJHjlBwfw4DuSaxRgeio3VV1zF9ZSEOzDmrFv/7w7maaPaE7h6Q9CipqeXV1MVdO7UN6UqzTcUREQtrs8dncc9FostMSMEB2WgL3XDQ6ZE5ka4ipSAecPrxnRLfDDwaPL97JQ5/kM7lfOr3TE52OI2FkT1Xri8SHyhyS9njwk3xcxvDdEwc4HUVEJCzMHp8dMgXh4VQginTAz74x3OkIEa22sZlnl+9i1shMFYfid6E+h6StSvbX88KKQi6emENmarzTcURExGEaYiriB25PJPY7dN78lUVU1TVxwwn9nY4iYai1OSRx0VEhM4ekrfbVNjE6O5VbTtbVQxERUYEo0iFNbg8n3vcBf3lvs9NRIo7HY3n08+2Mzk5lUt+uTseRMHT4HJJeqfH8/uIxzB6fzf76Jqfj+c3QzGRe/t4M+nZLcjqKiIgEAQ0xFemAGFcUiTHRrClSo5rOVlbdQIwrihtO6IcxWtpCAqO1OSTzVxbyuzc38Nj1UxiVnepQMv9YnF/G0J7JdNNariIi4qMriCIdNDonlbzCKqzVMNPOlJESz1u3n8j5Y0NzAriErnG904iLdnHFQ0tZtq3c6TjHraahme8/vZL/XbDW6SgiIhJEVCCKdNCYnFTKaxopPkLHQ/G/suoGDtQ3YYzBFaWrh9K5BvTowou3TCcjJY5rHlnOe+v3Oh3puDy7fBeVtU189yTNPRQRkf9SgSjSQaN9Q8zyCiudDRJB/vTuZk6Z9xH1TVr7UJyRlZbAi7fMYGhmMrc89SXby2qcjtQuDc1uHvpkGzMGdmNCH83hFRGR/9IcRJEOGt4rhaun9Q271vfBqrK2kZdXFnL+2CziD+swKdKZ0pNieea703hv/V76dw+tBi8vf1lEyYEG/vStcU5HERGRIKMriCIdFB/j4jezRzEmJ83pKBHh2eUF1Dd5uH6mlrYQ53WJiz7UxObLnfv4+4dbQ2I+8paSA4zvk8aMgd2cjiIiIkFGVxBF/KDZ7SG/tIYhPbuoo2YANbk9PLFkBzMGdmN4rxSn44h8xWuri3ls8Q5KDzTwf+eOICqI58f+4ryR1De59X4lIiJfoyuIIn7wwopCZv35Ewoq6pyOEtaWbatgd1U9N+jqoQSh/zt3BDee0J/HFu/gJy+upsntcTrS13g8lh2++ZIaoi0iIq1RgSjiB2NyvI1q1hRVOhskzJ0wuDtv3X4ipw3LcDqKyNdERRn+95vDueOsIbySW8QtT34ZdI2U3tuwl1P/8FFIL88hIiKBpQJRxA+G9Ewm1hVFXmGV01HC1sF5XcN7pQT10D2JbMYYbjttML+ZPYq4mCiig+h31VrL3z/KJ6drAhP7qnOpiIi0TnMQRfwgNjqK4b2SWaMCMWDueHENXeJc/OqCUU5HETmmq6f15dtT+2CMoWR/PVFRhu5d4hzNtDi/nNUFldx94SiiXTo/LCIirdMnhIifjM5JZW1RFR5P8HcwDDW7q+p4dVURsdF6y5LQYYzBWst3n/ySy/61hMJ9tY7m+fuHW8lIjuPiCTmO5hARkeCmoy0RP7l8ch8euGI8Kg/9Z0FuETPv/YDp93xAs8eSmRrvdCSRdjHG8P++OZzS6gYu/dcStpYccCRHUWUdX+7cx3dPHKDmNCIiclQmFNZr8qdJkybZFStWOB1DRI5hQW4Rc+fnUdeiyUdCjIt7Lhp9aN05kVCxvng/1zyyHLfHw+M3THFk3dSSA/V0iYsmMVazS0REIp0x5ktr7aTW7tMVRBE/WrqtnM+3ljkdI6Q1uz3kFVbx+7c3fqU4BKhrcjNv0SaHkokcvxFZKbx0y3SS4qL55cJ1dObJ2YOdVDOS41UciojIMemTQsSP7nt7I9GuKGYO6u50lJDR2OxhTWEly7ZXsHx7BV/u3Ed1Q/MRH19cqbUmJTT1657ES7fMwJj/zk/sjIXqf/rSGvbXN/HodZM75fVERCS06QqiiB+NyUljXVEVbjWqOaLaxmY+31rGumJvx9ftZTVc8q8lzFu0id1Vdcwen8UDV4yn1xHmG2alJXRmXBG/ykyNp2dKPM1uD7c9m8uLKwoC+no7ymp4fU0xQ3smqzgUEZE20RVEET8anZ3KY4t3sL2smkEZyU7HCQrWWj7cVHLoCmFeYRXNHsvlk3tz78VjGJzRhYeunsikfumkJ8Ueep7HY1udgzhn1lAnvg0Rv2pyW/bXNTHnpTVU1TXxnRMHBOR1Hvwkn2hXFDee0D8g+xcRkfCjAlHEj8bkpAKwprAqYgvE0gMNfLGjgur6Zi6b3BtjDL9YuI49VfWMzUnjppMGMKV/+qGFuqOiDGeNzPzafg42opm3aBPFlXVkpSUwZ9ZQNaiRsJAQ6+I/107ih8+t4rdvbKCytomfnDXEr1f59lTV89KXhXxrcm8yUtQBWERE2kYFoogfDejRhcRYF2sKq7gogtYa+2hTCYvW7WHZ9gq2ldYA0Cc9kcsm9wbg0eumkNM1od3t9WePz1ZBKGErLtrF366cwM/m5/G3D7fS7LHcdc4wv+3/8SU78Fi4+aSBftuniIiEPxWIIn7kijK89j8n0LtrotNRAsJay/aymkPNZH530WhiXFF8srmM19fsZkq/dL41qTdT+qczKjv10PMGZXRxMLVI8HJFGe69eDQZKXGcMjTDr/v+n9MGMbV/Or3Tw/P9SEREAkPrIIpEsAW5RW0awpm7ax//+XQ7y7ZXUFbdAED3LrG8dMsM+nVPorqhmYQYF64oNcEQ6ajXVhdzxvCeJMRqQXsREQmMo62DqCuIIn5WUFHLo5/v4OrpfenfPcnpOEd0+EL0RZV13DV/DTvKa0iIcbF8ewXfOXEA0wd2o67RTe6ufZw4uDtT+qczpX86A7onHZov1SVObyUi/rC1pJrbn8tlQp+uPHzdZFITYtq9j+qGZq76zzLmnDWUEwZryR0REWkfHdWJ+FmT28Mjn29nWK/koC4Q5y3a9LWF6OubPPz5vS0ADOiRxP76JgCmD+zG4rmnd3pGkUgzKKMLf7tyArc/l8vlDy3l8Rsmk5HcvgYzTy3dyeqCSpLj9REvIiLtp3UQRfysX7ckkuOiySuscjrKEXk8lqKjLDj/xc/P4IOfnMIsX3dRrZ8m0nm+MboXj1w3mR1lNVz6ryUUVNS2+bn1TW7+8+l2ThzcnbG90wIXUkREwpYKRBE/i4oyjMpOZU1R8BWI++ubeOSz7Zz2h4+O+JjstAR6JMd1XigR+ZoTB/fgqe9MpaquiRU7K9r8vBdXFFBW3cD3TxkUwHQiIhLOHCkQjTFpxpiXjDEbjTEbjDHTjTHpxph3jTFbfH92bfH4ucaYrcaYTcaYWS22TzTG5Pnue8DoMocEiTE5qWzYvZ/GZo/TUQ554YsCpv/ufX79+nrSk2K5enpf4mO++haghehFgsfEvl356I5TuHC8d8mcmobmoz6+ye3hXx9vY0KfNKYNSO+MiCIiEoacuoL4F+Bta+0wYCywAbgLeN9aOxh43/d3jDEjgMuBkcDZwD+MMQdbu/0TuAkY7Lud3ZnfhMiRjM5JJSU+hj1V9Y5l8Hgs72/Yy65y7/C0ft2TmDUqk4W3zWT+92fymwtGce9FY8hOS8DgvXJ4z0Wjte6gSBBJS4wFYMWOCk6870M+21J2xMdGGcPPvjGcO88epmHhIiJy3Dp9mQtjTAqwGhhgW7y4MWYTcIq1drcxphfwkbV2qDFmLoC19h7f4xYBvwR2AB/6ikyMMVf4nn/z0V5fy1xIZ/B4LMY4M3evqq6JF1cU8MSSneyqqOWWkwf6dfFtEel8JQfquebh5WwrreEvl4/jnNG9nI4kIiIh7GjLXDhxBXEAUAo8aozJNcb8xxiTBPS01u4G8P15cMXgbKCgxfMLfduyfV8fvl3EcVFRxpHi8Levr2f6Pe/z2zc2kJEcx9+uHM9PzhrS6TlExL8ykuN5/qbpjM5J5dZnVvL8F7u+cv+HG0t44P0t1B/WmVhERKS9nCgQo4EJwD+tteOBGnzDSY+gtaNse5TtX9+BMTcZY1YYY1aUlpa2N6/IcfnHR1u5+cnAXq12eyyL8/875KzR7eEbo3vx+v+cwEvfm8G5Y7KIcakXlUg4SE2M4ckbp3DC4B7c+XIen27xfp5Za/nju5uZv7JQ/99FRKTDnFgkqRAotNYu8/39JbwF4l5jTK8WQ0xLWjy+d4vn5wDFvu05rWz/GmvtQ8BD4B1i6q9vRORoquubeX9DCfVNbuJjXMd+QjtU1TbxwooCnli6g4KKOhbcOpNxvdP41fkjNfdIJIwlxkbzn2sm8dwXu5g5sDsLcov4zevrKa9pJC0hhtdWF2sesYiIdEinn2q01u4BCowxB1slng6sBxYC1/q2XQu86vt6IXC5MSbOGNMfbzOa5b5hqAeMMdN83UuvafEcEceNyUml2WPZuOeA3/ZZXt3A3Pl5TLvnfe5+cwO9UhL4x1UTGJWVAmi9QpFIEBsdxTXT+7FwdTF3vryG8ppGACrrmpg7P48FuUUOJxQRkVDmxBVEgP8BnjbGxALbgOvxFqsvGGNuBHYBlwJYa9cZY17AW0Q2A7daaw9Osvge8BiQALzlu4kEhdE5aQDkFVYyrgMLVrs9luLKOnqnJ5IQ6+KDjXs5f2wW187oxwhfYSgikWfeok00HLaUTl2Tm3mLNukqooiIHDdHCkRr7Sqgta45px/h8XcDd7eyfQUwyq/hRPwkKzWebkmx5BVVHdfzK2sbef4LbzfS+Jgo3v3RySTGRvPpT08jNlrzjEQiXXFlXbu2i4iItIVTVxBFwp4xhvPGZpGeFNuu5+WXVvOfT7fxSm4R9U0epvZP5/qZ/Q7dr+JQRACy0hIoaqUYzEpLcCCNiIiECxWIIgH0y/NHtulxzW4PzR5LfIyLDbv380puEReOz+aa6f0Y3kvDSEXk6+bMGsrc+XnUtVjaIiHGxZxZQ4/yLBERkaNTgSgSYB6PpcnjIS76651M99U08twXBTy1dCeXT+7N/5w+mFkjMzlhUHfSEtt35VFEIsvBeYbzFm2iuLKOrLQE5swaqvmHIiLSISoQRQLomWU7+fkra7FAdouDt/XF+3l88Q4WrCqiodnD9AHdGONrZBPjilJxKCJtMnt8tgpCERHxKxWIIgHiXZ9sAwcX3iyqrGPu/DwAXltdzOL8ci6emMO10/sxNDPZuaAiIiIiIj4qEEUCZN6iTV+ZGwT/bUH/3E3TSImPITUxxqF0IiIiIiJfpwJRJECO1oK+d3piJ6cRERERETk29csXCZAjtZpXC3oRERERCVYqEEUCZM6soSTEfLVzqVrQi4iIiEgw0xBTkQBRC3oRERERCTUqEEUCSC3oRURERCSUaIipiIiIiIiIACoQRURERERExEcFooiIiIiIiAAqEEVERERERMRHBaKIiIiIiIgAKhBFRERERETERwWiiIiIiIiIACoQRURERERExMdYa53O0KmMMaXATqdztKI7UOZ0iKNQvo5Rvo5Rvo4J9nwQ/BmVr2OUr2OUr2OUr2OUr2OCNV9fa22P1u6IuAIxWBljVlhrJzmd40iUr2OUr2OUr2OCPR8Ef0bl6xjl6xjl6xjl6xjl65hgz9caDTEVERERERERQAWiiIiIiIiI+KhADB4POR3gGJSvY5SvY5SvY4I9HwR/RuXrGOXrGOXrGOXrGOXrmGDP9zWagygiIiIiIiKAriCKiIiIiIiIjwpEPzPGuI0xq4wx64wxq40xPzbG+OXnbIx52xhTaYx5PRgzGmPGGWOW+Pa7xhjzrSDL19cY82WLfd8STPla7D/FGFNkjPlbsOVrse9VxpiFQZivjzHmHWPMBmPMemNMv2DJZ4w5tcXPbpUxpt4YMztY8vn2fZ9vvxuMMQ8YY0yQ5fu9MWat79bm9xcn3peNMf2NMcuMMVuMMc8bY2KDLN9txpitxhhrjOl+jH04ke9pY8wm37/1I8aYmCDL97DvtdYYY14yxnQJpnwt7v+rMab6GPtw4uf3mDFme4v3w3FBls8YY+42xmz2vR/+IMjyfdriZ1dsjFkQZPlON8as9L3uZ8aYQUGW7zRfvrXGmMeNMdGdnc8c5ZjZtOPzI2Cstbr58QZUt/g6A3gP+JWf9n06cB7wejBmBIYAg31fZwG7gbQgyhcLxPm+7gLsALKCJV+Lff4FeAb4WzD9+x6+b3/sIwD5PgLObPFvnBhM+VrsNx2oCKZ8wAzgc8Dluy0BTgmifN8E3gWigSRgBZDi9L/pkd6XgReAy31f/wv4XpDlGw/0870Pdg/Cn983AOO7PRuEP7+UFl//EbgrmPL57psEPHms922Hfn6PAZe0cR9O5LseeAKIOvi6wZTvsMe8DFwTTPmAzcBw39ffBx4Llnx4L44VAEN8f/81cGNn5+Mox8y04/MjULdOfbFIuB3+RgwMAMrxfsj1Az4FVvpuM3yPeRK4oMVzngbOP8L+TznaG0UwZGzxmNUHf/mDLR/QDdhFBwtEf+cDJgLPAdfhhwIxAPn8WiD6Mx8wAvgsWPMdts+bgKeDKR8wHfgSSAAS8RZgw4Mo3xzgf1v8/WHgsmD4N+Ww92XffsuA6BY/20XBku+w+3bQjgKxs/P57v8RcHcw5vO9xj+BO4MpH96TPB8CvQ5//SDJ9xjHUSB2Yr7lwKBgzdfivmRgH0c5WebQz28TMNX39Vzgd8GSD+gBbG3x9xOBN53K1+Ixq4HBtPPzI1C3Tn2xSLgd/ovk27YP6In3oCvet20wsML39cnAAt/XqcD2g78YrezriG8UwZLR95gpwAZ8Z9+CJR/QG1gD1AK3BtPPD+9ZrY98Ga/DTwWin39+zXgLh6XA7GDKB8wGXgfmA7nAPMAVLPkO298HwLnB9PPz3Xc/UAlUcZQDcof+fc/Ce4UzEegObAN+4vTPzHf/KXz1AKQ7Xz0A6Q2sDZZ8h923g3YWiJ2cLwbvgdeJwZYPeBTYi7cQO+JoACfyAbcDPzrS6wdBvsfwFhFrgD/hG90TRPnKgZ/j/bx7i6Oc7Hbq98933zXAS0H473ui72dYCKynHQVsoPPhLcB2ApN8f/8LkOdUPt9jDh0z087Pj0DdNAexcxycxxMD/NsYkwe8iPeKB9baj4FBxpgM4ArgZWttc6hmNMb0wnv25HprrSeY8llrC6y1Y4BBwLXGmJ5BlO/7eM9iFfgpk7/zAfSx1k4CrgT+bIwZGET5ovF+KN0BTMZ7lu+6IMrn3ZH3/8doYJGfsvkln2+OyHAgB8gGTjPGnBQs+ay17wBvAovxDjlcgveEhWOZ2rDvlmwQ5fOHzsr3D+ATa+2nwZbPWns93qFhG4D2zrkPWD5jTBZwKfDXdmbqlHw+c4FheN+r04E7gyxfHFDv+7z7N/BIkOU76Aq874ftFeh8PwK+Ya3NwXsi5Y/Bks96q67LgT8ZY5YDB2j/Z0kgj5n98fnRYUeclCn+YYwZALiBEuAXeM82jsV7lqC+xUOfBK7C+0t7Q6hmNMakAG/gHQq2NNjyHWStLTbGrMNbULwUJPmmAycaY76Pd/5crDGm2lp7V5Dkw1pb7PtzmzHmI7zzmPKDJF8hkGut3ebb7wJgGt6hiMGQ76DLgFestU0dyRWAfBcCS6211b79voX35/dJkOTDWns3cLdvv88AW5zOdARlQJoxJtp3UJADFAdRvg7prHzGmF/gHQ52czDmA7DWuo0xz+MdAv1okOQbj/ck6Fbj7TOVaIzZaq09YqOQTs6HtXa378sGY8yjeE/stUkn/fsW4p3bB/AKbfy37cR8GGO64b3ydGE7nxfQfMaYHsBYa+0y36bngbeDJR+AtXYJ3uM/jDFn4Z0P2On5jnDM3KHPD3/RFcQA8v0n+RfeoYIW72Xm3b4zBFfjnSNw0GPADwGstetCMaOvy9IrwBPW2heDMF+OMSbB93VXYCbeIS5Bkc9ae5W1to+1th/eD8sn/FAc+vPn19UYE+f7ujven9/6YMkHfAF09e0T4LQgy3fQ8Z7xDXS+XcDJxpho4+0YeTLeKyNBkc8Y4/IdEGGMGQOMAd5xMtOR+Pb7IXCJb9O1wKvBkq8jOiufMeY7wCzgivaMROmMfMZr0MGv8TbB2Bgs+ay1b1hrM621/XyfJ7XtKA4769+3l+9Pg3d6wNpgygcswPsZAt73ws1Blg+8V4lft9bWH/ORnZtvH5BqjDlYdJ1JGz9LOvH3L8P3Zxzeq9f/6ux8Rzpm7sjnh1/ZTh7TGu43vGcVVgHr8E44vYP/dsEajHe8/VLgHr4+8fVt4Jaj7PtToBSow3t2a1YwZQS+DTT59n3wNi6I8p3pe+5q3583BdPP77DHXcfxz0EM1M9vBpDn22ceR+n65eD/kYP/xnl435xjgyxfP6CI45ib2wn/vi7gQbwf5OuBPwZZvnhfrvW+549zOpPv/lbfl/EOcV4ObMU79Ohoc6ycyPcD39+b8Z6d/k+Q5WvGOzphle/2f8GSD+/J9c/xvs+sxduA4mhzrBw9Ljh8n8GQD+887IM/v6eALkGWLw3vlZ08vMPZxwZTPt99HwFnH+3f1sGf34X893jhI2BAkOWbh/ezbhPwQyd+fhzlmJl2fH4E6mZ8QcRhxphEvP+ZJlhrq5zO05pgz6h8HaN8HaN8HROM+YIxU0vK1zHK1zHK1zHK1zHKF1gaYhoEjDFn4B2e8tdg/SUK9ozK1zHK1zHK1zHBmC8YM7WkfB2jfB2jfB2jfB2jfIGnK4giIiIiIiIC6AqiiIiIiIiI+KhAFBEREREREUAFooiIiIiIiPhEOx1AREQk1Blj3Hg71sXgXaLhceDPth1r+ImIiAQDFYgiIiIdV2etHQeHFmF+Bu8iyr9wMpSIiEh7aYipiIiIH1lrS4CbgNuMVz9jzKfGmJW+2wwAY8yTxpgLDj7PGPO0MeZ8Y8xIY8xyY8wqY8waY8xgp74XERGJPFrmQkREpIOMMdXW2i6HbdsHDAMOAB5rbb2v2HvWWjvJGHMy8CNr7WxjTCqwChgM/AlYaq192hgTC7istXWd+g2JiEjE0hBTERGRwDC+P2OAvxljxgFuYAiAtfZjY8zffUNSLwJettY2G2OWAD83xuQA8621WxzILiIiEUpDTEVERPzMGDMAbzFYAvwI2AuMBSYBsS0e+iRwFXA98CiAtfYZ4HygDlhkjDmt85KLiEikU4EoIiLiR8aYHsC/gL9Z7zyOVGC3r6Pp1YCrxcMfA34IYK1d53v+AGCbtfYBYCEwptPCi4hIxNMQUxERkY5LMMas4r/LXDwJ/NF33z+Al40xlwIfAjUHn2St3WuM2QAsaLGvbwHfNsY0AXuAXwc8vYiIiI+a1IiIiDjEGJOId/3ECdbaKqfziIiIaIipiIiIA4wxZwAbgb+qOBQRkWChK4giIiIiIiIC6AqiiIiIiIiI+KhAFBEREREREUAFooiIiIiIiPioQBQRERERERFABaKIiIiIiIj4qEAUERERERERAP4/rk1Sw6fSRNYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 创建数据 \n",
    "yData = [np.random.randint(5000, 16000) for x in range(20)]\n",
    "# 设置画板尺寸\n",
    "plt.figure(figsize =(15,5))\n",
    "# 设置折线图绘制\n",
    "plt.plot(yData,\"o--\")\n",
    "# 设置图标题\n",
    "plt.title(\"Line Chart\")\n",
    "# 设置x轴刻度\n",
    "plt.xticks(np.arange(20), [\"Day %d\"%x for x in range(1,21)])\n",
    "# 设置x轴标签\n",
    "plt.xlabel(\"Days\")\n",
    "# 设置y轴标签\n",
    "plt.ylabel(\"Data(million)\")\n",
    "# 绘图\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "73e674af-998e-48e9-af54-ae60b2ef15f8",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
